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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}
}

Document

DOI: 10.4230/DagRep.4.6.48

Challenges in Analysing Executables: Scalability, Self-Modifying Code and Synergy (Dagstuhl Seminar 14241)

Authors: Roberto Giacobazzi, Axel Simon, and Sarah Zennou

Published in: Dagstuhl Reports, Volume 4, Issue 6 (2015)

Abstract

This report summarizes the program and the outcomes of the Dagstuhl Seminar 14241, entitled "Challenges in Analysing Executables: Scalability, Self-Modifying Code and Synergy". The seminar brought together practitioners and researchers from industry and academia to discuss the state-of-the art in the analysis of binaries, the handling of the most challenging malware and the ever-lasting problem of scalability. The meeting created new links within this very diverse community and highlighted the broad interest in dealing with obfuscated code.

Cite as

Roberto Giacobazzi, Axel Simon, and Sarah Zennou. Challenges in Analysing Executables: Scalability, Self-Modifying Code and Synergy (Dagstuhl Seminar 14241). In Dagstuhl Reports, Volume 4, Issue 6, pp. 48-63, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@Article{giacobazzi_et_al:DagRep.4.6.48,
  author =	{Giacobazzi, Roberto and Simon, Axel and Zennou, Sarah},
  title =	{{Challenges in Analysing Executables: Scalability, Self-Modifying Code and Synergy (Dagstuhl Seminar 14241)}},
  pages =	{48--63},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{6},
  editor =	{Giacobazzi, Roberto and Simon, Axel and Zennou, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.4.6.48},
  URN =		{urn:nbn:de:0030-drops-47627},
  doi =		{10.4230/DagRep.4.6.48},
  annote =	{Keywords: Executable analysis, reverse engineering, malware detection, control flow reconstruction, emulators, binary instrumentation}
}

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Documents authored by Zennou, Sarah

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

Abstract

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Challenges in Analysing Executables: Scalability, Self-Modifying Code and Synergy (Dagstuhl Seminar 14241)

Abstract

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