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+@article{abuwaragaTestbed2020,
+  title = {Design and Implementation of Automated {{IoT}} Security Testbed},
+  author = {Abu Waraga, Omnia and Bettayeb, Meriem and Nasir, Qassim and Abu Talib, Manar},
+  date = {2020-01-01},
+  journaltitle = {Computers \& Security},
+  shortjournal = {Computers \& Security},
+  volume = {88},
+  pages = {101648},
+  issn = {0167-4048},
+  doi = {10.1016/j.cose.2019.101648},
+  abstract = {The emergence of technology associated with the Internet of Things (IoT) is reshaping our lives, while simultaneously raising many issues due to their low level of security, which attackers can exploit for malicious purposes. This research paper conducts a comprehensive analysis of previous studies on IoT device security with a focus on the various tools used to test IoT devices and the vulnerabilities that were found. Additionally, the paper contains a survey of IoT-based security testbeds in the research literature. In this research study, we introduce an open source platform for identifying weaknesses in IoT networks and communications. The platform is easily modifiable and extendible to enable the addition of new security assessment tests and functionalities. It automates security evaluation, allowing for testing without human intervention. The testbed reports the security problems of the tested devices and can detect all attacks made against the devices. It is also designed to monitor communications within the testbed and with connected devices, enabling the system to abort if malicious activity is detected. To demonstrate the capabilities of the proposed IoT security testbed, it is used to examine the vulnerabilities of two IoT devices: a wireless camera and a smart bulb.},
+  keywords = {Automated testbed architecture,Internet of Things,IoT testbed,Vulnerability assessment},
+  file = {/home/seb/Zotero/storage/U3D2SCU4/S0167404819301920.html}
+}
+
+@article{al-hawawrehDevelopingSecurityTestbed2021,
+  title = {Developing a {{Security Testbed}} for {{Industrial Internet}} of {{Things}}},
+  author = {Al-Hawawreh, Muna and Sitnikova, Elena},
+  date = {2021-04},
+  journaltitle = {IEEE Internet of Things Journal},
+  shortjournal = {IEEE Internet Things J.},
+  volume = {8},
+  number = {7},
+  pages = {5558--5573},
+  issn = {2327-4662},
+  doi = {10.1109/JIOT.2020.3032093},
+  abstract = {While achieving security for Industrial Internet of Things (IIoT) is a critical and nontrivial task, more attention is required for brownfield IIoT systems. This is a consequence of long life cycles of their legacy devices which were initially designed without considering security and IoT connectivity, but they are now becoming more connected and integrated with emerging IoT technologies and messaging communication protocols. Deploying today's methodologies and solutions in brownfield IIoT systems is not viable, as security solutions must co-exist and fit these systems' requirements. This necessitates a realistic standardized IIoT testbed that can be used as an optimal format to measure the credibility of security solutions of IIoT networks, analyze IIoT attack landscapes and extract threat intelligence. Developing a testbed for brownfield IIoT systems is considered a significant challenge as these systems are comprised of legacy, heterogeneous devices, communication layers and applications that need to be implemented holistically to achieve high fidelity. In this article, we propose a new generic end-to-end IIoT security testbed, with a particular focus on the brownfield system and provide details of the testbed's architectural design and the implementation process. The proposed testbed can be easily reproduced and reconfigured to support the testing activities of new processes and various security scenarios. The proposed testbed operation is demonstrated on different connected devices, communication protocols and applications. The experiments demonstrate that this testbed is effective in terms of its operation and security testing. A comparison with existing testbeds, including a table of features is provided.},
+  eventtitle = {{{IEEE Internet}} of {{Things Journal}}},
+  keywords = {Brownfield,ieee,Industrial Internet of Things (IIoT),iot,Protocols,Resilience,Security,security testing,Sensors,testbed,Testing},
+  file = {/home/seb/Zotero/storage/7JFQCP4C/Al-Hawawreh and Sitnikova - 2021 - Developing a Security Testbed for Industrial Inter.pdf;/home/seb/Zotero/storage/U9SM7UYK/9233425.html}
+}
+
+@inproceedings{alyamiwifi2022,
+  title = {{{WiFi-based IoT Devices Profiling Attack}} Based on {{Eavesdropping}} of {{Encrypted WiFi Traffic}}},
+  booktitle = {2022 {{IEEE}} 19th {{Annual Consumer Communications}} \& {{Networking Conference}} ({{CCNC}})},
+  author = {Alyami, Mnassar and Alharbi, Ibrahim and Zou, Cliff and Solihin, Yan and Ackerman, Karl},
+  date = {2022-01-08},
+  pages = {385--392},
+  publisher = {IEEE},
+  location = {Las Vegas, NV, USA},
+  doi = {10.1109/CCNC49033.2022.9700674},
+  abstract = {Recent research has shown that in-network observers of WiFi communication (i.e., observers who have joined the WiFi network) can obtain much information regarding the types, user identities, and activities of Internet-of-Things (IoT) devices in the network. What has not been explored is the question of how much information can be inferred by an out-ofnetwork observer who does not have access to the WiFi network. This attack scenario is more realistic and much harder to defend against, thus imposes a real threat to user privacy. In this paper, we investigate privacy leakage derived from an out-of-network traffic eavesdropper on the encrypted WiFi traffic of popular IoT devices. We instrumented a testbed of 12 popular IoT devices and evaluated multiple machine learning methods for fingerprinting and inferring what IoT devices exist in a WiFi network. By only exploiting the WiFi frame header information, we have achieved 95\% accuracy in identifying the devices and often their working status. This study demonstrates that information leakage and privacy attack is a real threat for WiFi networks and IoT applications.},
+  eventtitle = {2022 {{IEEE}} 19th {{Annual Consumer Communications}} \& {{Networking Conference}} ({{CCNC}})},
+  isbn = {978-1-66543-161-3},
+  langid = {english},
+  file = {/home/seb/Zotero/storage/7A9CFI4D/Alyami et al. - 2022 - WiFi-based IoT Devices Profiling Attack based on E.pdf}
+}
+
+@inproceedings{aysom23,
+  title = {Are {{You Spying}} on {{Me}}? \{\vphantom\}{{Large-Scale}}\vphantom\{\} {{Analysis}} on \{\vphantom\}{{IoT}}\vphantom\{\} {{Data Exposure}} through {{Companion Apps}}},
+  shorttitle = {Are {{You Spying}} on {{Me}}?},
+  author = {Nan, Yuhong and Wang, Xueqiang and Xing, Luyi and Liao, Xiaojing and Wu, Ruoyu and Wu, Jianliang and Zhang, Yifan and Wang, XiaoFeng},
+  date = {2023},
+  pages = {6665--6682},
+  url = {https://www.usenix.org/conference/usenixsecurity23/presentation/nan},
+  urldate = {2024-02-25},
+  eventtitle = {32nd {{USENIX Security Symposium}} ({{USENIX Security}} 23)},
+  isbn = {978-1-939133-37-3},
+  langid = {english},
+  file = {/home/seb/Zotero/storage/M5HNUNW8/Nan et al. - 2023 - Are You Spying on Me Large-Scale Analysis on I.pdf}
+}
+
+@article{bashir2017internet,
+  title = {The {{Internet}} of {{Things}} Testbed: A Survey and Evaluation},
+  author = {Bashir, Abid H and Gill, Khurram},
+  date = {2017},
+  journaltitle = {Future Generation Computer Systems},
+  shortjournal = {Future Gener. Comput. Syst.},
+  volume = {78},
+  pages = {409--421},
+  publisher = {Elsevier}
+}
+
+@online{click,
+  title = {Welcome to {{Click}} — {{Click Documentation}} (8.1.x)},
+  url = {https://click.palletsprojects.com/en/8.1.x/},
+  urldate = {2024-06-30},
+  file = {/home/seb/Zotero/storage/88MW53XH/8.1.x.html}
+}
+
+@unpublished{CommonLanguageFacilitate2023,
+  title = {Toward a Common Language to Facilitate Reproducible Research and Technology Transfer: Challenges and Solutions},
+  shorttitle = {Toward a Common Language to Facilitate Reproducible Research and Technology Transfer},
+  date = {2023-06-28},
+  doi = {10.5281/zenodo.8105339},
+  abstract = {The keynote presentation from the 1st ACM conference on reproducibility and replicability (ACM REP'23).The video of this presentation is available at the ACM YouTube channel.Please don't hesitate to provide your feedback via the public Discord server~from the MLCommons Task Force on Automation and Reproducibility and GitHub issues.[ GitHub project~] [ Public Collective Knowledge repository ][ Related reproducibility initiatives ] [ cTuning.org ] [ cKnowledge.org ]During the past 10 years, we have considerably improved the reproducibility of experimental results from published papers by introducing the artifact evaluation process with a unified artifact appendix and reproducibility checklists, Jupyter notebooks, containers, and Git repositories. On the other hand, our experience reproducing more than 200 papers shows that it can take weeks and months of painful and repetitive interactions between teams to reproduce artifacts. This effort includes decrypting numerous README files, examining ad-hoc artifacts and containers, and figuring out how to reproduce computational results. Furthermore, snapshot containers pose a challenge to optimize algorithms' performance, accuracy, power consumption and operational costs across diverse and rapidly evolving software, hardware, and data used in the real world.In this talk, I~explain how our practical artifact evaluation experience and the feedback from researchers and evaluators motivated us to develop a simple, intuitive, technology agnostic, and English-like scripting language called Collective Mind (CM). It helps to automatically adapt any given experiment to any software, hardware, and data while automatically generating unified README files and synthesizing modular containers with a unified API. It is being developed by MLCommons to facilitate reproducible AI/ML Systems research and minimizing manual and repetitive benchmarking and optimization efforts, reduce time and costs for reproducible research, and simplify technology transfer to production. I also present several recent use cases of how CM helps MLCommons, the Student Cluster Competition, and artifact evaluation at ACM/IEEE conferences. I conclude with our development plans, new challenges, possible solutions, and upcoming reproducibility and optimization challenges powered by the MLCommons Collective Knowledge platform and CM:~access.cKnowledge.org.},
+  keywords = {artifact evaluation,artificial intelligence,automation,chatgpt,cknowledge,collective knowledge,collective mind,competitions,cTuning,llm,llm automation,machine learning,mlcommons,mlperf,optimization challenges,performance,replicability,reproducibility,reusability,systems},
+  file = {/home/seb/Zotero/storage/AGZTALNV/Fursin - 2023 - Toward a common language to facilitate reproducibl.pdf}
+}
+
+@online{coryefelleCorrectingIoTHistory2016,
+  title = {Correcting the {{IoT History}}},
+  author = {CoryEfelle},
+  date = {2016-03-14T22:28:21+00:00},
+  url = {http://www.chetansharma.com/correcting-the-iot-history/},
+  urldate = {2024-06-20},
+  abstract = {In the last 5 years, IoT has entered the industry consciousness. There are varying forecasts calling for tremendous growth and … Continued},
+  langid = {american},
+  organization = {Chetan Sharma},
+  file = {/home/seb/Zotero/storage/LJX88N74/correcting-the-iot-history.html}
+}
+
+@inproceedings{dasilvaComRoad2021,
+  title = {A {{Community Roadmap}} for {{Scientific Workflows Research}} and {{Development}}},
+  booktitle = {2021 {{IEEE Workshop}} on {{Workflows}} in {{Support}} of {{Large-Scale Science}} ({{WORKS}})},
+  author = {family=Silva, given=Rafael Ferreira, prefix=da, useprefix=true and Casanova, Henri and Chard, Kyle and Altintas, Ilkay and Badia, Rosa M and Balis, Bartosz and Coleman, Tainã and Coppens, Frederik and Di Natale, Frank and Enders, Bjoern and Fahringer, Thomas and Filgueira, Rosa and Fursin, Grigori and Garijo, Daniel and Goble, Carole and Howell, Dorran and Jha, Shantenu and Katz, Daniel S. and Laney, Daniel and Leser, Ulf and Malawski, Maciej and Mehta, Kshitij and Pottier, Loïc and Ozik, Jonathan and Peterson, J. Luc and Ramakrishnan, Lavanya and Soiland-Reyes, Stian and Thain, Douglas and Wolf, Matthew},
+  date = {2021-11},
+  pages = {81--90},
+  doi = {10.1109/WORKS54523.2021.00016},
+  abstract = {The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of these challenges and lay the groundwork for transforming workflows research and development, the WorkflowsRI and ExaWorks projects partnered to bring the international workflows community together. This paper reports on discussions and findings from two virtual “Workflows Community Summits” (January and April, 2021). The overarching goals of these workshops were to develop a view of the state of the art, identify crucial research challenges in the workflows community, articulate a vision for potential community efforts, and discuss technical approaches for realizing this vision. To this end, participants identified six broad themes: FAIR computational workflows; AI workflows; exascale challenges; APIs, interoperability, reuse, and standards; training and education; and building a workflows community. We summarize discussions and recommendations for each of these themes.},
+  eventtitle = {2021 {{IEEE Workshop}} on {{Workflows}} in {{Support}} of {{Large-Scale Science}} ({{WORKS}})},
+  keywords = {AI workflows,Artificial intelligence,Buildings,community roadmap,Conferences,data management,exascale computing,interoperability,Research and development,Scientific workflows,Stakeholders,Standards,Training},
+  file = {/home/seb/Zotero/storage/856IVVCZ/da Silva et al. - 2021 - A Community Roadmap for Scientific Workflows Resea.pdf;/home/seb/Zotero/storage/7QR6LPZV/authors.html}
+}
+
+@report{dasilvaworkflow2021,
+  title = {Workflows {{Community Summit}}: {{Bringing}} the {{Scientific Workflows Community Together}}},
+  shorttitle = {Workflows {{Community Summit}}},
+  author = {family=Silva, given=Rafael Ferreira, prefix=da, useprefix=true and Casanova, Henri and Chard, Kyle and Laney, Dan and Ahn, Dong and Jha, Shantenu and Goble, Carole and Ramakrishnan, Lavanya and Peterson, Luc and Enders, Bjoern and Thain, Douglas and Altintas, Ilkay and Babuji, Yadu and Badia, Rosa M. and Bonazzi, Vivien and Coleman, Taina and Crusoe, Michael and Deelman, Ewa and Di Natale, Frank and Di Tommaso, Paolo and Fahringer, Thomas and Filgueira, Rosa and Fursin, Grigori and Ganose, Alex and Gruning, Bjorn and Katz, Daniel S. and Kuchar, Olga and Kupresanin, Ana and Ludascher, Bertram and Maheshwari, Ketan and Mattoso, Marta and Mehta, Kshitij and Munson, Todd and Ozik, Jonathan and Peterka, Tom and Pottier, Loic and Randles, Tim and Soiland-Reyes, Stian and Tovar, Benjamin and Turilli, Matteo and Uram, Thomas and Vahi, Karan and Wilde, Michael and Wolf, Matthew and Wozniak, Justin},
+  date = {2021-03-16},
+  eprint = {2103.09181},
+  eprinttype = {arXiv},
+  eprintclass = {cs},
+  doi = {10.5281/zenodo.4606958},
+  abstract = {Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of these workflows have high computational, storage, and/or communication demands, and thus must execute on a wide range of large-scale platforms, from large clouds to upcoming exascale high-performance computing (HPC) platforms. These executions must be managed using some software infrastructure. Due to the popularity of workflows, workflow management systems (WMSs) have been developed to provide abstractions for creating and executing workflows conveniently, efficiently, and portably. While these efforts are all worthwhile, there are now hundreds of independent WMSs, many of which are moribund. As a result, the WMS landscape is segmented and presents significant barriers to entry due to the hundreds of seemingly comparable, yet incompatible, systems that exist. As a result, many teams, small and large, still elect to build their own custom workflow solution rather than adopt, or build upon, existing WMSs. This current state of the WMS landscape negatively impacts workflow users, developers, and researchers. The "Workflows Community Summit" was held online on January 13, 2021. The overarching goal of the summit was to develop a view of the state of the art and identify crucial research challenges in the workflow community. Prior to the summit, a survey sent to stakeholders in the workflow community (including both developers of WMSs and users of workflows) helped to identify key challenges in this community that were translated into 6 broad themes for the summit, each of them being the object of a focused discussion led by a volunteer member of the community. This report documents and organizes the wealth of information provided by the participants before, during, and after the summit.},
+  keywords = {Computer Science - Distributed Parallel and Cluster Computing},
+  file = {/home/seb/Zotero/storage/JWQWSRVM/da Silva et al. - 2021 - Workflows Community Summit Bringing the Scientifi.pdf;/home/seb/Zotero/storage/4DY745J9/2103.html}
+}
+
+@inproceedings{faircsartefacts2022,
+  title = {Toward Findable, Accessible, Interoperable, and Reusable Cybersecurity Artifacts},
+  booktitle = {Proceedings of the 15th Workshop on Cyber Security Experimentation and Test},
+  author = {Balenson, David and Benzel, Terry and Eide, Eric and Emmerich, David and Johnson, David and Mirkovic, Jelena and Tinnel, Laura},
+  date = {2022},
+  series = {Cset '22},
+  pages = {65--70},
+  publisher = {Association for Computing Machinery},
+  location = {New York, NY, USA},
+  doi = {10.1145/3546096.3546104},
+  abstract = {Researchers in experimental cybersecurity are increasingly sharing the code, data, and other artifacts associated with their studies. This trend is encouraged and rewarded by conferences and journals through practices such as artifact evaluation and badging. While these trends in sharing artifacts are promising, the cybersecurity community is still far from an ecosystem in which artifacts are FAIR: findable, accessible, interoperable, and reusable. The lack of established standards and best practices for sharing and reuse results in artifacts that are often difficult to find and reuse; in addition, the lack of community standards results in artifacts that may be incomplete and low-quality. In this paper we describe our experience in creating an online community hub, called SEARCCH, to promote the sharing and reuse of artifacts for cybersecurity research. Based on our experience, we offer lessons learned: issues that must be addressed to further promote FAIR principles in experimental cybersecurity.},
+  isbn = {978-1-4503-9684-4},
+  pagetotal = {6},
+  keywords = {artifact catalog,cybersecurity artifacts,FAIR principles,reproducibility,SEARCCH}
+}
+
+@online{FHSReferencedSpecifications,
+  title = {{{FHS Referenced Specifications}}},
+  url = {https://refspecs.linuxfoundation.org/fhs.shtml},
+  urldate = {2024-06-22},
+  file = {/home/seb/Zotero/storage/E75NBMV5/fhs.html}
+}
+
+@inproceedings{friesssniffing2018,
+  title = {Multichannel-{{Sniffing-System}} for {{Real-World Analysing}} of {{Wi-Fi-Packets}}},
+  booktitle = {2018 {{Tenth International Conference}} on {{Ubiquitous}} and {{Future Networks}} ({{ICUFN}})},
+  author = {Friess, Kristof},
+  date = {2018-07},
+  pages = {358--364},
+  issn = {2165-8536},
+  doi = {10.1109/ICUFN.2018.8436715},
+  abstract = {Wireless technologies like Wi-Fi send their data using multiple channels. To analyze an environment and all Wi-Fi packets inside, a sniffing system is needed, which can sniff on all used channels of the wireless technology at the same time. This allows catching most packets on each channel. In this paper, a way to build up a multi-channel-sniffing-system (MCSS) is described. The test system uses several single board computers (SBC) with an external Wi-Fi adapter (USB), 19 SBCs are sniffing nodes (SFN) and one SBC as sending node (SN). The sniffing SBCs are placed in a cycle around the sender so that every node has the same chance to receive the simulated packets from the SN. For the control of all 20 SBCs, a self-developed software is used, which connects from the host to the clients and is used for configuring the experiments. The configuration is sent to each client and will initiate their start, so that their times are also synchronized, for this all clients are synchronised using a time server.},
+  eventtitle = {2018 {{Tenth International Conference}} on {{Ubiquitous}} and {{Future Networks}} ({{ICUFN}})},
+  keywords = {Bluetooth,Europe,Hardware,Monitoring,multichannel,node.js,sbc,sniffing,Universal Serial Bus,wifi,Wireless communication,Wireless fidelity},
+  file = {/home/seb/Zotero/storage/AIPDUX7V/Friess - 2018 - Multichannel-Sniffing-System for Real-World Analys.pdf;/home/seb/Zotero/storage/E38MLQA3/8436715.html}
+}
+
+@standard{fsh-home,
+  title = {3.8.~/Home : {{User}} Home Directories (Optional)},
+  url = {https://refspecs.linuxfoundation.org/FHS_3.0/fhs/ch03s08.html},
+  urldate = {2024-06-22},
+  file = {/home/seb/Zotero/storage/PHTUTULW/ch03s08.html}
+}
+
+@article{fursinckorg2021,
+  title = {Collective Knowledge: Organizing Research Projects as a Database of Reusable Components and Portable Workflows with Common Interfaces},
+  shorttitle = {Collective Knowledge},
+  author = {Fursin, Grigori},
+  date = {2021-03-29},
+  journaltitle = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
+  shortjournal = {Philos. Trans. R. Soc. Math. Phys. Eng. Sci.},
+  volume = {379},
+  number = {2197},
+  pages = {20200211},
+  publisher = {Royal Society},
+  doi = {10.1098/rsta.2020.0211},
+  abstract = {This article provides the motivation and overview of the Collective Knowledge Framework (CK or cKnowledge). The CK concept is to decompose research projects into reusable components that encapsulate research artifacts and provide unified application programming interfaces (APIs), command-line interfaces (CLIs), meta descriptions and common automation actions for related artifacts. The CK framework is used to organize and manage research projects as a database of such components. Inspired by the USB ‘plug and play’ approach for hardware, CK also helps to assemble portable workflows that can automatically plug in compatible components from different users and vendors (models, datasets, frameworks, compilers, tools). Such workflows can build and run algorithms on different platforms and environments in a unified way using the customizable CK program pipeline with software detection plugins and the automatic installation of missing packages. This article presents a number of industrial projects in which the modular CK approach was successfully validated in order to automate benchmarking, auto-tuning and co-design of efficient software and hardware for machine learning and artificial intelligence in terms of speed, accuracy, energy, size and various costs. The CK framework also helped to automate the artifact evaluation process at several computer science conferences as well as to make it easier to reproduce, compare and reuse research techniques from published papers, deploy them in production, and automatically adapt them to continuously changing datasets, models and systems. The long-term goal is to accelerate innovation by connecting researchers and practitioners to share and reuse all their knowledge, best practices, artifacts, workflows and experimental results in a common, portable and reproducible format at cKnowledge.io. This article is part of the theme issue ‘Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico’.},
+  keywords = {DevOps,FAIR principles,portability,reproducibility,research automation,reusability},
+  file = {/home/seb/Zotero/storage/6DM4S7B7/Fursin - 2021 - Collective knowledge organizing research projects.pdf}
+}
+
+@online{go-fair,
+  title = {{{FAIR Principles}}},
+  url = {https://www.go-fair.org/fair-principles/},
+  urldate = {2024-06-22},
+  abstract = {In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’~were published in~Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The principles emphasise machine-actionability (i.e., the capacity of… Continue reading →},
+  langid = {american},
+  organization = {GO FAIR},
+  file = {/home/seb/Zotero/storage/MLUAT2GN/fair-principles.html}
+}
+
+@article{huang2011testbed,
+  title = {Testbed for Evaluating Performance of Health Monitoring Systems},
+  author = {Huang, Qinfen and Liu, Min and Garcia, Alfredo and Reynolds, Matthew},
+  date = {2011},
+  journaltitle = {IEEE Transactions on Instrumentation and Measurement},
+  shortjournal = {IEEE Trans. Instrum. Meas.},
+  volume = {60},
+  number = {1},
+  pages = {114--123},
+  publisher = {IEEE}
+}
+
+@inproceedings{infoexpiot,
+  title = {Information {{Exposure From Consumer IoT Devices}}: {{A Multidimensional}}, {{Network-Informed Measurement Approach}}},
+  shorttitle = {Information {{Exposure From Consumer IoT Devices}}},
+  booktitle = {Proceedings of the {{Internet Measurement Conference}}},
+  author = {Ren, Jingjing and Dubois, Daniel J. and Choffnes, David and Mandalari, Anna Maria and Kolcun, Roman and Haddadi, Hamed},
+  date = {2019-10-21},
+  series = {{{IMC}} '19},
+  pages = {267--279},
+  publisher = {Association for Computing Machinery},
+  location = {New York, NY, USA},
+  doi = {10.1145/3355369.3355577},
+  abstract = {Internet of Things (IoT) devices are increasingly found in everyday homes, providing useful functionality for devices such as TVs, smart speakers, and video doorbells. Along with their benefits come potential privacy risks, since these devices can communicate information about their users to other parties over the Internet. However, understanding these risks in depth and at scale is difficult due to heterogeneity in devices' user interfaces, protocols, and functionality. In this work, we conduct a multidimensional analysis of information exposure from 81 devices located in labs in the US and UK. Through a total of 34,586 rigorous automated and manual controlled experiments, we characterize information exposure in terms of destinations of Internet traffic, whether the contents of communication are protected by encryption, what are the IoT-device interactions that can be inferred from such content, and whether there are unexpected exposures of private and/or sensitive information (e.g., video surreptitiously transmitted by a recording device). We highlight regional differences between these results, potentially due to different privacy regulations in the US and UK. Last, we compare our controlled experiments with data gathered from an in situ user study comprising 36 participants.},
+  isbn = {978-1-4503-6948-0},
+  file = {/home/seb/Zotero/storage/YT9SKQLS/Ren et al. - 2019 - Information Exposure From Consumer IoT Devices A .pdf}
+}
+
+@incollection{iotfundamentals,
+  title = {{{IoT Fundamentals}}: {{Definitions}}, {{Architectures}}, {{Challenges}}, and {{Promises}}},
+  booktitle = {Intelligent {{Internet}} of {{Things}}: {{From Device}} to {{Fog}} and {{Cloud}}},
+  author = {Firouzi, Farshad and Farahani, Bahar and Weinberger, Markus and DePace, Gabriel and Aliee, Fereidoon Shams},
+  editor = {Firouzi, Farshad and Chakrabarty, Krishnendu and Nassif, Sani},
+  date = {2020},
+  pages = {3--50},
+  publisher = {Springer International Publishing},
+  location = {Cham},
+  doi = {10.1007/978-3-030-30367-9_1},
+  abstract = {The Internet is everywhere and touched almost every corner of the globe affecting our lives in previously unimagined ways. As a living entity, the Internet is constantly evolving, and now, an era of widespread connectivity through various smart devices (i.e., things) that connect with the Internet has begun. This paradigm change is generally referred to as the Internet of Things (IoT). Welcoming IoT will bring significant benefits to economies and businesses as it enables greater innovation and productivity. On the other hand, the rapid adoption of IoT presents new challenges regarding connectivity, security, data processing, and scalability. Because the IoT world is vast and versatile, it cannot be viewed as a single technology. IoT looks more like an umbrella covering many protocols, technologies, and concepts that depend on specific industries. In this chapter, we will seek to look at the history of IoT, more clearly define it, and review its terms and concepts. We will also review vertical IoT markets and higher-level use cases that have successfully adopted IoT solutions. We will also discuss the details of the business implications, business models, and opportunities of IoT. Finally, the complete IoT stack and reference architectures from smart objects, to the networks, to the cloud, and finally the applications where information is leveraged are explained.},
+  isbn = {978-3-030-30367-9}
+}
+
+@inproceedings{iothome2019,
+  title = {All Things Considered: {{An}} Analysis of {{IoT}} Devices on Home Networks},
+  booktitle = {28th {{USENIX}} Security Symposium ({{USENIX}} Security 19)},
+  author = {Kumar, Deepak and Shen, Kelly and Case, Benton and Garg, Deepali and Alperovich, Galina and Kuznetsov, Dmitry and Gupta, Rajarshi and Durumeric, Zakir},
+  date = {2019-08},
+  pages = {1169--1185},
+  publisher = {USENIX Association},
+  location = {Santa Clara, CA},
+  url = {https://www.usenix.org/conference/usenixsecurity19/presentation/kumar-deepak},
+  isbn = {978-1-939133-06-9}
+}
+
+@inproceedings{iotInHomes2019,
+  title = {All {{Things Considered}}: {{An Analysis}} of \{\vphantom\}{{IoT}}\vphantom\{\} {{Devices}} on {{Home Networks}}},
+  shorttitle = {All {{Things Considered}}},
+  author = {Kumar, Deepak and Shen, Kelly and Case, Benton and Garg, Deepali and Alperovich, Galina and Kuznetsov, Dmitry and Gupta, Rajarshi and Durumeric, Zakir},
+  date = {2019},
+  pages = {1169--1185},
+  url = {https://www.usenix.org/conference/usenixsecurity19/presentation/kumar-deepak},
+  urldate = {2024-06-30},
+  eventtitle = {28th {{USENIX Security Symposium}} ({{USENIX Security}} 19)},
+  isbn = {978-1-939133-06-9},
+  langid = {english},
+  keywords = {adoption,home,iot},
+  file = {/home/seb/Zotero/storage/73BEXVMZ/Kumar et al. - 2019 - All Things Considered An Analysis of IoT Device.pdf}
+}
+
+@article{islamiot2023,
+  title = {Internet of {{Things}}: {{Device Capabilities}}, {{Architectures}}, {{Protocols}}, and {{Smart Applications}} in {{Healthcare Domain}}},
+  shorttitle = {Internet of {{Things}}},
+  author = {Islam, Md. Milon and Nooruddin, Sheikh and Karray, Fakhri and Muhammad, Ghulam},
+  date = {2023-02},
+  journaltitle = {IEEE Internet of Things Journal},
+  shortjournal = {IEEE Internet Things J.},
+  volume = {10},
+  number = {4},
+  pages = {3611--3641},
+  issn = {2327-4662},
+  doi = {10.1109/JIOT.2022.3228795},
+  abstract = {Nowadays, the Internet has spread to practically every country around the world and is having unprecedented effects on people’s lives. The Internet of Things (IoT) is getting more popular and has a high level of interest in both practitioners and academicians in the age of wireless communication due to its diverse applications. The IoT is a technology that enables everyday things to become savvier, everyday computation toward becoming intellectual, and everyday communication to become a little more insightful. In this article, the most common and popular IoT device capabilities, architectures, and protocols are demonstrated in brief to provide a clear overview of the IoT technology to the researchers in this area. The common IoT device capabilities, including hardware (Raspberry Pi, Arduino, and ESP8266) and software (operating systems (OSs), and built-in tools) platforms are described in detail. The widely used architectures that have recently evolved and used are the three-layer architecture, service-oriented architecture, and middleware-based architecture. The popular protocols for IoT are demonstrated which include constrained application protocol, message queue telemetry transport, extensible messaging and presence protocol, advanced message queuing protocol, data distribution service, low power wireless personal area network, Bluetooth low energy, and ZigBee that are frequently utilized to develop smart IoT applications. Additionally, this research provides an in-depth overview of the potential healthcare applications based on IoT technologies in the context of addressing various healthcare concerns. Finally, this article summarizes state-of-the-art knowledge, highlights open issues and shortcomings, and provides recommendations for further studies which would be quite beneficial to anyone with a desire to work in this field and make breakthroughs to get expertise in this area.},
+  eventtitle = {{{IEEE Internet}} of {{Things Journal}}},
+  keywords = {Communication protocol,Computer architecture,device capabilities,Hardware,healthcare applications,Internet of Things,Internet of Things (IoT),IoT architecture,Medical services,Protocols,Security,Software},
+  file = {/home/seb/Zotero/storage/HDMX3ZVW/Islam et al. - 2023 - Internet of Things Device Capabilities, Architect.pdf;/home/seb/Zotero/storage/WDKWMKN9/references.html}
+}
+
+@online{mitmproxy,
+  title = {Mitmproxy - an Interactive {{HTTPS}} Proxy},
+  url = {https://mitmproxy.org/},
+  urldate = {2024-06-30},
+  keywords = {proxy,sniffing,tools},
+  file = {/home/seb/Zotero/storage/NTUXF55S/mitmproxy.org.html}
+}
+
+@standard{OverviewInternetThings2012,
+  type = {Recommendation},
+  title = {Overview of the {{Internet}} of Things},
+  shorttitle = {Y.{{IoT-overview}}},
+  date = {2012-06-15},
+  number = {ITU-T Y.4000},
+  url = {https://handle.itu.int/11.1002/1000/11559},
+  abstract = {Recommendation ITU-T Y.2060 provides an overview of the Internet of things (IoT). It clarifies the concept and scope of the IoT, identifies the fundamental characteristics and high-level requirements of the IoT and describes the IoT reference model. The ecosystem and business models are also provided in an informative appendix. Former ITU-T Y.2060 renumbered as ITU-T Y.4000 on 2016-02-05 without further modification and without being republished.},
+  pubstate = {In force}
+}
+
+@inproceedings{peekaboo2020,
+  title = {Peek-a-{{Boo}}: {{I}} See Your Smart Home Activities, Even Encrypted!},
+  shorttitle = {Peek-a-{{Boo}}},
+  booktitle = {Proceedings of the 13th {{ACM Conference}} on {{Security}} and {{Privacy}} in {{Wireless}} and {{Mobile Networks}}},
+  author = {Acar, Abbas and Fereidooni, Hossein and Abera, Tigist and Sikder, Amit Kumar and Miettinen, Markus and Aksu, Hidayet and Conti, Mauro and Sadeghi, Ahmad-Reza and Uluagac, Selcuk},
+  date = {2020-07-08},
+  eprint = {1808.02741},
+  eprinttype = {arXiv},
+  eprintclass = {cs},
+  pages = {207--218},
+  doi = {10.1145/3395351.3399421},
+  abstract = {A myriad of IoT devices such as bulbs, switches, speakers in a smart home environment allow users to easily control the physical world around them and facilitate their living styles through the sensors already embedded in these devices. Sensor data contains a lot of sensitive information about the user and devices. However, an attacker inside or near a smart home environment can potentially exploit the innate wireless medium used by these devices to exfiltrate sensitive information from the encrypted payload (i.e., sensor data) about the users and their activities, invading user privacy. With this in mind,in this work, we introduce a novel multi-stage privacy attack against user privacy in a smart environment. It is realized utilizing state-of-the-art machine-learning approaches for detecting and identifying the types of IoT devices, their states, and ongoing user activities in a cascading style by only passively sniffing the network traffic from smart home devices and sensors. The attack effectively works on both encrypted and unencrypted communications. We evaluate the efficiency of the attack with real measurements from an extensive set of popular off-the-shelf smart home IoT devices utilizing a set of diverse network protocols like WiFi, ZigBee, and BLE. Our results show that an adversary passively sniffing the traffic can achieve very high accuracy (above 90\%) in identifying the state and actions of targeted smart home devices and their users. To protect against this privacy leakage, we also propose a countermeasure based on generating spoofed traffic to hide the device states and demonstrate that it provides better protection than existing solutions.},
+  keywords = {BLE,Computer Science - Cryptography and Security,network traffic,privacy,smart-home,wifi,ZigBee},
+  file = {/home/seb/Zotero/storage/HKM4PAZW/Acar et al. - 2020 - Peek-a-Boo I see your smart home activities, even.pdf;/home/seb/Zotero/storage/ISVLWPED/1808.html}
+}
+
+@article{pmsSpinellis2012,
+  title = {Package {{Management Systems}}},
+  author = {Spinellis, Diomidis},
+  date = {2012-03},
+  journaltitle = {IEEE Software},
+  shortjournal = {IEEE Softw.},
+  volume = {29},
+  number = {2},
+  pages = {84--86},
+  issn = {1937-4194},
+  doi = {10.1109/MS.2012.38},
+  abstract = {A package management system organizes and simplifies the installation and maintenance of software by standardizing and organizing the production and consumption of software collections. As a software developer, you can benefit from package managers in two ways: through a rich and stable development environment and through friction-free reuse. Promisingly, the structure that package managers bring both to the tools we use in our development process and the libraries we reuse in our products ties nicely with the recent move emphasizing DevOps (development operations) as an integration between software development and IT operations.},
+  eventtitle = {{{IEEE Software}}},
+  keywords = {DevOps,Maintenance engineering,module dependencies,package management system,Product management,shared library,Software libraries,Software reusability,software reuse},
+  file = {/home/seb/Zotero/storage/DA6A82Z4/6155145.html}
+}
+
+@online{poetry,
+  title = {Poetry - {{Python}} Dependency Management and Packaging Made Easy},
+  url = {https://python-poetry.org/},
+  urldate = {2024-06-30},
+  file = {/home/seb/Zotero/storage/BYK5CXZT/python-poetry.org.html}
+}
+
+@online{pydantic,
+  title = {Welcome to {{Pydantic}} - {{Pydantic}}},
+  url = {https://docs.pydantic.dev/latest/},
+  urldate = {2024-07-01},
+  file = {/home/seb/Zotero/storage/FF8XYTKG/latest.html}
+}
+
+@online{pythonorg,
+  title = {Welcome to {{Python}}.Org},
+  date = {2024-06-27},
+  url = {https://www.python.org/},
+  urldate = {2024-06-30},
+  abstract = {The official home of the Python Programming Language},
+  langid = {english},
+  organization = {Python.org},
+  keywords = {tool},
+  file = {/home/seb/Zotero/storage/BKHKLAP9/www.python.org.html}
+}
+
+@online{recommendedformatrsLOC,
+  type = {web page},
+  title = {Recommended {{Formats Statement}} – {{Datasets}} | {{Resources}} ({{Preservation}}, {{Library}} of {{Congress}})},
+  url = {https://www.loc.gov/preservation/resources/rfs/data.html},
+  urldate = {2024-06-23},
+  abstract = {Lists technical characteristics of and metadata for datasets that best support the preservation of and long-term access to these creative works. Identifies the formats the Library of Congress prefers or finds acceptable.},
+  langid = {english},
+  file = {/home/seb/Zotero/storage/G5K5R8ES/data.html}
+}
+
+@article{romanfeatures2013,
+  title = {On the Features and Challenges of Security and Privacy in Distributed Internet of Things},
+  author = {Roman, Rodrigo and Zhou, Jianying and Lopez, Javier},
+  date = {2013-07-05},
+  journaltitle = {Computer Networks},
+  shortjournal = {Computer Networks},
+  series = {Towards a {{Science}} of {{Cyber Security}}},
+  volume = {57},
+  number = {10},
+  pages = {2266--2279},
+  issn = {1389-1286},
+  doi = {10.1016/j.comnet.2012.12.018},
+  abstract = {In the Internet of Things, services can be provisioned using centralized architectures, where central entities acquire, process, and provide information. Alternatively, distributed architectures, where entities at the edge of the network exchange information and collaborate with each other in a dynamic way, can also be used. In order to understand the applicability and viability of this distributed approach, it is necessary to know its advantages and disadvantages – not only in terms of features but also in terms of security and privacy challenges. The purpose of this paper is to show that the distributed approach has various challenges that need to be solved, but also various interesting properties and strengths.},
+  keywords = {connectivity,Distributed Architectures,Internet of Things,iot,network,Security},
+  file = {/home/seb/Zotero/storage/CNBJ9Q6H/S1389128613000054.html}
+}
+
+@online{rrrr2023,
+  title = {Repeatability, {{Reproducibility}}, {{Replicability}}, {{Reusability}} ({{4R}}) in {{Journals}}' {{Policies}} and {{Software}}/{{Data Management}} in {{Scientific Publications}}: {{A Survey}}, {{Discussion}}, and {{Perspectives}}},
+  shorttitle = {Repeatability, {{Reproducibility}}, {{Replicability}}, {{Reusability}} ({{4R}}) in {{Journals}}' {{Policies}} and {{Software}}/{{Data Management}} in {{Scientific Publications}}},
+  author = {Hernández, José Armando and Colom, Miguel},
+  date = {2023-12-18},
+  eprint = {2312.11028},
+  eprinttype = {arXiv},
+  eprintclass = {cs},
+  doi = {10.48550/arXiv.2312.11028},
+  abstract = {With the recognized crisis of credibility in scientific research, there is a growth of reproducibility studies in computer science, and although existing surveys have reviewed reproducibility from various perspectives, especially very specific technological issues, they do not address the author-publisher relationship in the publication of reproducible computational scientific articles. This aspect requires significant attention because it is the basis for reliable research. We have found a large gap between the reproducibility-oriented practices, journal policies, recommendations, publisher artifact Description/Evaluation guidelines, submission guides, technological reproducibility evolution, and its effective adoption to contribute to tackling the crisis. We conducted a narrative survey, a comprehensive overview and discussion identifying the mutual efforts required from Authors, Journals, and Technological actors to achieve reproducibility research. The relationship between authors and scientific journals in their mutual efforts to jointly improve the reproducibility of scientific results is analyzed. Eventually, we propose recommendations for the journal policies, as well as a unified and standardized Reproducibility Guide for the submission of scientific articles for authors. The main objective of this work is to analyze the implementation and experiences of reproducibility policies, techniques and technologies, standards, methodologies, software, and data management tools required for scientific reproducible publications. Also, the benefits and drawbacks of such an adoption, as well as open challenges and promising trends, to propose possible strategies and efforts to mitigate the identified gaps. To this purpose, we analyzed 200 scientific articles, surveyed 16 Computer Science journals, and systematically classified them according to reproducibility strategies, technologies, policies, code citation, and editorial business. We conclude there is still a reproducibility gap in scientific publications, although at the same time also the opportunity to reduce this gap with the joint effort of authors, publishers, and technological providers.},
+  pubstate = {prepublished},
+  keywords = {Computer Science - Software Engineering,repeatability,replicability,reproducibility,reusability},
+  file = {/home/seb/Zotero/storage/TD6WP27L/Hernández and Colom - 2023 - Repeatability, Reproducibility, Replicability, Reu.pdf;/home/seb/Zotero/storage/PQMREEDV/2312.html}
+}
+
+@article{sibonitestbed2019,
+  title = {Security {{Testbed}} for {{Internet-of-Things Devices}}},
+  author = {Siboni, Shachar and Sachidananda, Vinay and Meidan, Yair and Bohadana, Michael and Mathov, Yael and Bhairav, Suhas and Shabtai, Asaf and Elovici, Yuval},
+  date = {2019-03},
+  journaltitle = {IEEE Transactions on Reliability},
+  shortjournal = {IEEE Trans. Reliab.},
+  volume = {68},
+  number = {1},
+  pages = {23--44},
+  issn = {1558-1721},
+  doi = {10.1109/TR.2018.2864536},
+  abstract = {The Internet of Things (IoT) is a global ecosystem of information and communication technologies aimed at connecting any type of object (thing), at any time, and in any place, to each other and to the Internet. One of the major problems associated with the IoT is the heterogeneous nature of such deployments; this heterogeneity poses many challenges, particularly, in the areas of security and privacy. Specifically, security testing and analysis of IoT devices is considered a very complex task, as different security testing methodologies, including software and hardware security testing approaches, are needed. In this paper, we propose an innovative security testbed framework targeted at IoT devices. The security testbed is aimed at testing all types of IoT devices, with different software/hardware configurations, by performing standard and advanced security testing. Advanced analysis processes based on machine learning algorithms are employed in the testbed in order to monitor the overall operation of the IoT device under test. The architectural design of the proposed security testbed along with a detailed description of the testbed implementation is discussed. The testbed operation is demonstrated on different IoT devices using several specific IoT testing scenarios. The results obtained demonstrate that the testbed is effective at detecting vulnerabilities and compromised IoT devices.},
+  eventtitle = {{{IEEE Transactions}} on {{Reliability}}},
+  keywords = {Hardware,Internet of Things,Internet of Things (IoT),IoT devices,privacy,security,Security,Software,Standards,testbed framework,Testing},
+  file = {/home/seb/Zotero/storage/SVD5VNTV/Siboni et al. - 2019 - Security Testbed for Internet-of-Things Devices.pdf;/home/seb/Zotero/storage/VXRRDTR9/8565917.html}
+}
+
+@article{surveytestingmethods2022,
+  title = {Survey of {{Testing Methods}} and {{Testbed Development Concerning Internet}} of {{Things}}},
+  author = {Zhu, Shicheng and Yang, Shunkun and Gou, Xiaodong and Xu, Yang and Zhang, Tao and Wan, Yueliang},
+  date = {2022-03-01},
+  journaltitle = {Wireless Personal Communications},
+  shortjournal = {Wireless Pers Commun},
+  volume = {123},
+  number = {1},
+  pages = {165--194},
+  issn = {1572-834X},
+  doi = {10.1007/s11277-021-09124-5},
+  abstract = {The concept of Internet of Things (IoT) was designed to change everyday lives of people via multiple forms of computing and easy deployment of applications. In recent years, the increasing complexity of IoT-ready devices and processes has led to potential risks related to system reliability. Therefore, the comprehensive testing of IoT technology has attracted the attention of many researchers, which promotes the extensive development of IoT testing methods and infrastructure. However, the current research on IoT testing methods and testbeds mainly focuses on specific application scenarios, lacking systematic review and analysis of many applications from different points of view. This paper systematically summarizes the latest testing methods covering different IoT fields and discusses the development status of the existing Internet of things testbed. Findings of this review demonstrate that IoT testing is moving toward larger scale and intelligent testing, and that in near future, IoT test architecture is set to become more standardized and universally applicable with multi-technology convergence—i.e., a combination of big data, cloud computing, and artificial intelligence—being the prime focus of IoT testing.},
+  langid = {english},
+  keywords = {Internet of Things,IoT testing,Testbed,Testing method},
+  file = {/home/seb/Zotero/storage/ZZ6KBCP6/Zhu et al. - 2022 - Survey of Testing Methods and Testbed Development .pdf}
+}
+
+@article{tbsmartgrid2013,
+  title = {Cyber-{{Physical Security Testbeds}}: {{Architecture}}, {{Application}}, and {{Evaluation}} for {{Smart Grid}}},
+  shorttitle = {Cyber-{{Physical Security Testbeds}}},
+  author = {Hahn, Adam and Ashok, Aditya and Sridhar, Siddharth and Govindarasu, Manimaran},
+  date = {2013-06},
+  journaltitle = {IEEE Transactions on Smart Grid},
+  shortjournal = {IEEE Trans. Smart Grid},
+  volume = {4},
+  number = {2},
+  pages = {847--855},
+  issn = {1949-3061},
+  doi = {10.1109/TSG.2012.2226919},
+  abstract = {The development of a smarter electric grid will depend on increased deployments of information and communication technology (ICT) to support novel communication and control functions. Unfortunately, this additional dependency also expands the risk from cyber attacks. Designing systems with adequate cyber security depends heavily on the availability of representative environments, such as testbeds, where current issues and future ideas can be evaluated. This paper provides an overview of a smart grid security testbed, including the set of control, communication, and physical system components required to provide an accurate cyber-physical environment. It then identifies various testbed research applications and also identifies how various components support these applications. The PowerCyber testbed at Iowa State University is then introduced, including the architecture, applications, and novel capabilities, such as virtualization, Real Time Digital Simulators (RTDS), and ISEAGE WAN emulation. Finally, several attack scenarios are evaluated using the testbed to explore cyber-physical impacts. In particular, availability and integrity attacks are demonstrated with both isolated and coordinated approaches, these attacks are then evaluated based on the physical system's voltage and rotor angle stability.},
+  eventtitle = {{{IEEE Transactions}} on {{Smart Grid}}},
+  keywords = {Computer architecture,cyber security,Cyber-physical systems,ieee,iot,Protocols,Real-time systems,Security,smart grid,Smart grids,Software,Substations,testbed,testbeds},
+  file = {/home/seb/Zotero/storage/DHKLTKRM/6473865.html}
+}
+
+@online{tcpdump,
+  title = {Home | {{TCPDUMP}} \& {{LIBPCAP}}},
+  url = {https://www.tcpdump.org/},
+  urldate = {2024-06-30},
+  file = {/home/seb/Zotero/storage/SXMBIDLR/www.tcpdump.org.html}
+}
+
+@online{testbedOxford,
+  title = {Test Bed Noun - {{Definition}}, Pictures, Pronunciation and Usage Notes | {{Oxford Advanced Learner}}'s {{Dictionary}} at {{OxfordLearnersDictionaries}}.Com},
+  url = {https://www.oxfordlearnersdictionaries.com/definition/english/test-bed},
+  urldate = {2024-06-20}
+}
+
+@inproceedings{ukilEmbeddedSecurityInternet2011,
+  title = {Embedded Security for {{Internet}} of {{Things}}},
+  booktitle = {2011 2nd {{National Conference}} on {{Emerging Trends}} and {{Applications}} in {{Computer Science}}},
+  author = {Ukil, Arijit and Sen, Jaydip and Koilakonda, Sripad},
+  date = {2011-03},
+  pages = {1--6},
+  doi = {10.1109/NCETACS.2011.5751382},
+  abstract = {Internet of Things (IoT) consists of several tiny devices connected together to form a collaborative computing environment. IoT imposes peculiar constraints in terms of connectivity, computational power and energy budget, which make it significantly different from those contemplated by the canonical doctrine of security in distributed systems. In order to circumvent the problem of security in IoT domain, networks and devices need to be secured. In this paper, we consider the embedded device security only, assuming that network security is properly in place. It can be noticed that the existence of tiny computing devices that form ubiquity in IoT domain are very much vulnerable to different security attacks. In this work, we provide the requirements of embedded security, the solutions to resists different attacks and the technology for resisting temper proofing of the embedded devices by the concept of trusted computing. Our paper attempts to address the issue of security for data at rest. Addressing this issue is equivalent to addressing the security issue of the hardware platform. Our work also partially helps in addressing securing data in transit.},
+  eventtitle = {2011 2nd {{National Conference}} on {{Emerging Trends}} and {{Applications}} in {{Computer Science}}},
+  keywords = {ARM,Computer architecture,confidentiality,embedded device,Embedded systems,Hardware,Internet of things (IoT),Protocols,security,Security,Smart phones,Trustzone,ubiquitous computing},
+  file = {/home/seb/Zotero/storage/IQGX2SWB/5751382.html}
+}
+
+@thesis{vacuumpie2023,
+  type = {Master Thgesis},
+  title = {Private {{Information Exposed}} by the {{Use}} of {{Robot Vacuum Cleaner}} in {{Smart Environments}}},
+  author = {Ulsmåg, Benjamin Andreas},
+  date = {2023-01-06},
+  institution = {{Norwegian University of Science and Technology}},
+  location = {Gjøvik},
+  abstract = {Robot vacuum cleaners are popular IoT devices and are deployed in all kinds of smart environments. Integration with IoT systems introduce more security and privacy issues related to the operation of these devices. Vendors have developed smart phone applications where users can personalize cleaning or view informa- tion about the vacuum cleaner. This increase the integration between user’s life and the robot vacuum cleaner, which potentially exposes private information. In- dustry standards include end-to-end encryption between the application, cloud service and robot vacuum cleaner to secure the private information exchanged. Regardless of encryption, network header metadata is still available through net- work eavesdropping attacks. In this project we investigated the potential private information exposed by this metadata. An Irobot Roomba i7 was deployed in two different smart environments where passive network eavesdropping was conduc- ted during smart feature triggering. Analysis revealed that it was possible to attrib- ute different events triggered on the Irobot Roomba i7, only based on metadata in the Internet traffic capture. Different signature-based detection algorithms are proposed, with a high detection rate. Wi-Fi and Internet capturing metadata were compared and similar patterns were identified, making the detection method ap- plicable for Wi-Fi eavesdropping as well. This thesis covers the implementation, capturing and analysis of network traffic and proposes event detection algorithms.},
+  langid = {english}
+}
+
+@article{vassermanVampireAttacksDraining2013,
+  title = {Vampire {{Attacks}}: {{Draining Life}} from {{Wireless Ad Hoc Sensor Networks}}},
+  shorttitle = {Vampire {{Attacks}}},
+  author = {Vasserman, Eugene Y. and Hopper, Nicholas},
+  date = {2013-02},
+  journaltitle = {IEEE Transactions on Mobile Computing},
+  shortjournal = {IEEE Trans. Mob. Comput.},
+  volume = {12},
+  number = {2},
+  pages = {318--332},
+  issn = {1558-0660},
+  doi = {10.1109/TMC.2011.274},
+  abstract = {Ad hoc low-power wireless networks are an exciting research direction in sensing and pervasive computing. Prior security work in this area has focused primarily on denial of communication at the routing or medium access control levels. This paper explores resource depletion attacks at the routing protocol layer, which permanently disable networks by quickly draining nodes' battery power. These "Vampire” attacks are not specific to any specific protocol, but rather rely on the properties of many popular classes of routing protocols. We find that all examined protocols are susceptible to Vampire attacks, which are devastating, difficult to detect, and are easy to carry out using as few as one malicious insider sending only protocol-compliant messages. In the worst case, a single Vampire can increase network-wide energy usage by a factor of O(N), where N in the number of network nodes. We discuss methods to mitigate these types of attacks, including a new proof-of-concept protocol that provably bounds the damage caused by Vampires during the packet forwarding phase.},
+  eventtitle = {{{IEEE Transactions}} on {{Mobile Computing}}},
+  keywords = {ad hoc networks,Ad hoc networks,Denial of service,Energy consumption,Network topology,routing,Routing,Routing protocols,security,sensor networks,Topology,wireless networks},
+  file = {/home/seb/Zotero/storage/W96J7MD8/Vasserman and Hopper - 2013 - Vampire Attacks Draining Life from Wireless Ad Ho.pdf;/home/seb/Zotero/storage/TY3DMJZZ/6112758.html}
+}
+
+@article{vaughan2005use,
+  title = {The Use of Climate Chambers in Biological Research},
+  author = {family=Vaughan, given=TL, given-i=TL and family=Battle, given=SC, given-i=SC and family=Walker, given=KL, given-i=KL},
+  date = {2005},
+  journaltitle = {Environmental Science \& Technology},
+  shortjournal = {Environ. Sci. Technol.},
+  volume = {39},
+  number = {14},
+  pages = {5121--5127},
+  publisher = {ACS Publications}
+}
+
+@article{whatissmartdevice2018,
+  title = {What Is a Smart Device? - a Conceptualisation within the Paradigm of the Internet of Things},
+  author = {Silverio-Fernández, Manuel and Renukappa, Suresh and Suresh, Subashini},
+  date = {2018-05-09},
+  journaltitle = {Visualization in Engineering},
+  shortjournal = {Visualization in Engineering},
+  volume = {6},
+  number = {1},
+  pages = {3},
+  issn = {2213-7459},
+  doi = {10.1186/s40327-018-0063-8},
+  abstract = {The Internet of Things (IoT) is an interconnected network of objects which range from simple sensors to smartphones and tablets; it is a relatively novel paradigm that has been rapidly gaining ground in the scenario of modern wireless telecommunications with an expected growth of 25 to 50 billion of connected devices for 2020 Due to the recent rise of this paradigm, authors across the literature use inconsistent terms to address the devices present in the IoT, such as mobile device, smart device, mobile technologies or mobile smart device. Based on the existing literature, this paper chooses the term smart device as a starting point towards the development of an appropriate definition for the devices present in the IoT. This investigation aims at exploring the concept and main features of smart devices as well as their role in the IoT. This paper follows a systematic approach for reviewing compendium of literature to explore the current research in this field. It has been identified smart devices as the primary objects interconnected in the network of IoT, having an essential role in this paradigm. The developed concept for defining smart device is based on three main features, namely context-awareness, autonomy and device connectivity. Other features such as mobility and user-interaction were highly mentioned in the literature, but were not considered because of the nature of the IoT as a network mainly oriented to device-to-device connectivity whether they are mobile or not and whether they interact with people or not. What emerges from this paper is a concept which can be used to homogenise the terminology used on further research in the Field of digitalisation and smart technologies.}
+}
+
+@article{wilkinson_fair_2016,
+  title = {The {{FAIR Guiding Principles}} for Scientific Data Management and Stewardship},
+  author = {Wilkinson, Mark D. and Swertz, Morris A. and family=al., prefix=et, useprefix=true},
+  date = {2016-03-15},
+  journaltitle = {Scientific Data},
+  shortjournal = {Sci Data},
+  volume = {3},
+  number = {1},
+  pages = {160018},
+  publisher = {Nature Publishing Group},
+  issn = {2052-4463},
+  doi = {10.1038/sdata.2016.18},
+  abstract = {There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.},
+  langid = {english},
+  keywords = {Publication characteristics,Research data},
+  file = {/home/seb/Zotero/storage/LDIYYE8H/Wilkinson et al. - 2016 - The FAIR Guiding Principles for scientific data ma.pdf}
+}
+
+@online{wiresharkorg,
+  title = {Wireshark · {{Go Deep}}},
+  url = {https://www.wireshark.org/},
+  urldate = {2024-06-30},
+  file = {/home/seb/Zotero/storage/SZ3UZZG4/www.wireshark.org.html}
+}
+
+@article{zander2014survey,
+  title = {A Survey of Testbeds and Experimental Research Infrastructures for Wireless Networks},
+  author = {Zander, Justus and Zinner, Thomas and Bifulco, Roberto and Carle, Georg},
+  date = {2014},
+  journaltitle = {IEEE Communications Surveys \& Tutorials},
+  shortjournal = {IEEE Commun. Surv. Tutor.},
+  volume = {15},
+  number = {4},
+  pages = {1231--1246},
+  publisher = {IEEE},
+  keywords = {iot,springer,survey,testbed}
+}
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