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

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 popu...

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Veröffentlicht in:	IEEE/ACM transactions on networking 2021-10, Vol.29 (5), p.2339-2352
Hauptverfasser:	Shamsi, Zain, Cline, Daren B. H., Loguinov, Dmitri
Format:	Artikel
Sprache:	eng
Schlagworte:	Distortion Fingerprinting Internet network security Nonparametric statistics Parameters Ports (computers) Probes Stack fingerprinting TCP/IP (protocol) TCPIP
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