• DOI:10.1117/12.2562343
Corpus ID: 219000317

Identifying class of previously unseen programs using RF side channels

@inproceedings{Chilenski2020IdentifyingCO,
  title={Identifying class of previously unseen programs using RF side channels},
  author={M. Chilenski and Corey Cleveland and I. Dekine and Catherine O'Donnell and G. Raz and Andrew Sciotti and L. Vertatschitsch},
  booktitle={Defense + Commercial Sensing},
  year={2020}
}

• M. Chilenski, Corey Cleveland, +4 authors L. Vertatschitsch
• Published in Defense + Commercial Sensing 2020
• Computer Science, Engineering

We present results showing that software programs which are not part of the training set can be characterized into broad classes using involuntary RF side channels. This extends previous work on program identification through analog side channels focused on identifying the specific program out of the training set or flagging previously-unseen programs as "anomalous." This new approach enables an intrusion detection system to be robust to benign changes such as software updates and eliminates… Expand

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