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MalClassifier: Malware family classification using network flow sequence behaviour

Abstract:

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 r...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1109/ECRIME.2018.8376209

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Kingdom of Saudi Arabia More from this funder
Saudi Arabian Cultural Bureau More from this funder
King Saud University More from this funder
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Publication date:
2018-06-11
Acceptance date:
2018-04-13
DOI:
Pubs id:
pubs:856585
URN:
uri:99e6212a-7e15-4a3c-a547-a8ad3936907d
UUID:
uuid:99e6212a-7e15-4a3c-a547-a8ad3936907d
Local pid:
pubs:856585

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