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Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition (Dagstuhl Seminar 17281)

Authors Sarah Zennou, Saumya K. Debray, Thomas Dullien, Arun Lakhothia and all authors of the abstracts in this report

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Keywords
  • big data
  • executable analysis
  • machine learning
  • malware
  • obfuscation
  • reverse engineering

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Abstract

This report summarizes the program and the outcomes of the Dagstuhl Seminar 17281, entitled "Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition". The seminar brought together practitioners and researchers from industry and academia to discuss the state-of-the art in the analysis of malware from both a big data perspective and a fine grained analysis. Obfuscation was also considered. The meeting created new links within this very diverse community.

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Sarah Zennou, Saumya K. Debray, Thomas Dullien, and Arun Lakhothia. Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition (Dagstuhl Seminar 17281). In Dagstuhl Reports, Volume 7, Issue 7, pp. 44-53, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/DagRep.7.7.44

Author Details

Sarah Zennou
Saumya K. Debray
Thomas Dullien
Arun Lakhothia
and all authors of the abstracts in this report
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