Faulds: A Non-Parametric Iterative Classifier for Internet-Wide OS Fingerprinting

@inproceedings{Shamsi2017FauldsAN,
  title={Faulds: A Non-Parametric Iterative Classifier for Internet-Wide OS Fingerprinting},
  author={Zain Shamsi and Daren B. H. Cline and Dmitri Loguinov},
  booktitle={ACM Conference on Computer and Communications Security},
  year={2017}
}
Recent work in OS fingerprinting has focused on overcoming random distortion in network and user features during Internet-scale SYN scans. These classification techniques work under an assumption that all parameters of the profiled network are known a-priori -- the likelihood of packet loss, the popularity of each OS, the distribution of network delay, and the probability of user modification to each default TCP/IP header value. However, it is currently unclear how to obtain realistic versions… CONTINUE READING

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