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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, and Arun Lakhothia

Published in: Dagstuhl Reports, Volume 7, Issue 7 (2018)

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)

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@Article{zennou_et_al:DagRep.7.7.44,
  author =	{Zennou, Sarah and Debray, Saumya K. and Dullien, Thomas and Lakhothia, Arun},
  title =	{{Malware Analysis: From Large-Scale Data Triage to Targeted Attack Recognition (Dagstuhl Seminar 17281)}},
  pages =	{44--53},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{7},
  editor =	{Zennou, Sarah and Debray, Saumya K. and Dullien, Thomas and Lakhothia, Arun},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.7.44},
  URN =		{urn:nbn:de:0030-drops-84222},
  doi =		{10.4230/DagRep.7.7.44},
  annote =	{Keywords: big data, executable analysis, machine learning, malware, obfuscation, reverse engineering}
}

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

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