Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph

Abstract

Malware detection has been widely studied by analysing either file dropping relationships or characteristics of the file distribution network. This paper, for the first time, studies a global heterogeneous malware delivery graph fusing file dropping relationship and the topology of the file distribution network. The integration offers a unique ability of… (More)
DOI: 10.1145/2983323.2983700

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