Scalable fine-grained behavioral clustering of HTTP-based malware

    Computer Networks, pp. 487-500, 2013.

    Cited by: 56|Bibtex|Views13|Links
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    Keywords:
    Malware clusteringSignature generationNetwork intrusion detection

    Abstract:

    A large number of today's botnets leverage the HTTP protocol to communicate with their botmasters or perpetrate malicious activities. In this paper, we present a new scalable system for network-level behavioral clustering of HTTP-based malware that aims to efficiently group newly collected malware samples into malware family clusters. The...More

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