WHAT
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notes/testbed/data analysis/privacy metrics.md
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notes/testbed/data analysis/privacy metrics.md
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notes/testbed/data collection/Design document.md
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notes/testbed/data collection/Design document.md
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# Needed Metadata
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- _Must_ contain IP address of *IoT* device
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- _Can_ contain IP addr of capture host
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# Options
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## tcpdump options
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see [[tcpdump]]
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## kybcap options
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| Option | Desciption|
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| ------- | ---------- |
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| `--setup` | Go through guided setup process |
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| `--meta-config` | Go through guided meta data setup |
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| `--mdevice=` | _Metadata_ : Specify device name |
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| `--mipdev=` | _Metadata_ : Specify device ip address |
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| `--mmac=` | _Metadata_ : Specify device MAC address |
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| `--to-csv` | _post_processing: extract pcap into csv |
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notes/testbed/scope.md
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notes/testbed/scope.md
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What is scope if testbed as a system?
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notes/testbed/testbed design and architecture.md
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notes/testbed/testbed design and architecture.md
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FAIR data + privacy metric evaluation algos.
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Dataset offers some schema.
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Privacy metric requires some set of features.
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**Case 1**
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dataset schema = required features by privacy metric
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**Case 2**
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dataset schema $\subset$ required features ->
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_2.1:_ feature extraction algo(s) exists, which can computed missing features
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_2.2:_ missing features CANNOT be computed form available schema/data
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**Case 3**
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dataset schema $\supset$ required features -> project schema down into relevant feature space/ leave out uneeded data
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**Case 4**
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Unknown relationship -> further investigaton needed
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Is this realistic case?
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