• DOI:10.1109/ACSSC.2017.8335179
Corpus ID: 4943955

Towards provably invisible network flow fingerprints

@article{Soltani2017TowardsPI,
  title={Towards provably invisible network flow fingerprints},
  author={R. Soltani and D. Goeckel and D. Towsley and A. Houmansadr},
  journal={2017 51st Asilomar Conference on Signals, Systems, and Computers},
  year={2017},
  pages={258-262}
}

• R. Soltani, D. Goeckel, +1 author A. Houmansadr
• Published 2017
• Computer Science, Mathematics
• 2017 51st Asilomar Conference on Signals, Systems, and Computers

Network traffic analysis reveals important information even when messages are encrypted. We consider active traffic analysis via flow fingerprinting by invisibly embedding information into packet timings of flows. In particular, assume Alice wishes to embed fingerprints into flows of a set of network input links, whose packet timings are modeled by Poisson processes, without being detected by a watchful adversary Willie. Bob, who receives the set of fingerprinted flows after they pass through… Expand

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