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URN: urn:nbn:de:0030-drops-9640
URL: https://drops.dagstuhl.de/opus/volltexte/2007/964/
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Walenstein, Andrew ; Lakhotia, Arun

The Software Similarity Problem in Malware Analysis

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06301.LakhotiaArun.964.pdf (0.2 MB)


Abstract

In software engineering contexts software may be compared for similarity in
order to detect duplicate code that indicates poor design, and to
reconstruct evolution history. Malicious software, being nothing other
than a particular type of software, can also be compared for similarity in
order to detect commonalities and evolution history. This paper provides a
brief introduction to the issue of measuring similarity between malicious
programs, and how evolution is known to occur in the area. It then uses
this review to try to draw lines that connect research in software
engineering (e.g., on "clone detection") to problems in anti-malware
research.



BibTeX - Entry

@InProceedings{walenstein_et_al:DSP:2007:964,
  author =	{Andrew Walenstein and Arun Lakhotia},
  title =	{The Software Similarity Problem in Malware Analysis},
  booktitle =	{Duplication, Redundancy, and Similarity in Software},
  year =	{2007},
  editor =	{Rainer Koschke and Ettore Merlo and Andrew Walenstein},
  number =	{06301},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Internationales Begegnungs- und Forschungszentrum f{\"u}r Informatik (IBFI), Schloss Dagstuhl, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2007/964},
  annote =	{Keywords: Software, software evolution, commonality, program similarity, code clones, code smells, malicious software, malware, worms, Trojans, viruses, spyware}
}

Keywords: Software, software evolution, commonality, program similarity, code clones, code smells, malicious software, malware, worms, Trojans, viruses, spyware
Collection: 06301 - Duplication, Redundancy, and Similarity in Software
Issue Date: 2007
Date of publication: 19.04.2007


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