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MalClassifier: Malware family classification using network flow sequence behaviour
2018
2018 APWG Symposium on Electronic Crime Research (eCrime)
Anti-malware vendors receive daily thousands of potentially malicious binaries to analyse and categorise before deploying the appropriate defence measure. Considering the limitations of existing malware analysis and classification methods, we present MalClassifier, a novel privacy-preserving system for the automatic analysis and classification of malware using network flow sequence mining. MalClassifier allows identifying the malware family behind detected malicious network activity without
doi:10.1109/ecrime.2018.8376209
dblp:conf/ecrime/AlAhmadiM18
fatcat:ozjd7wu2bja47jwjms3b7fnyoi