Metamorphic malware detection technology based on aggregating emerging patterns

Jingfeng Xue*, Changzhen Hu, Kunsheng Wang, Rui Ma, Jiaxin Zou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Obfuscating technology is used widely in metamorphic malware and most of current detection methods fail to completely identify such ever-increasingly covert metamorphic malware. In this paper, system call sequences in the process of software execution are researched and metamorphic malware detection method based on aggregating emerging patterns is proposed. Experimental results show most metamorphic malware can be detected effectively by this method and it has higher detection rate and lower false alarm rate when the minimum support and growth rate thresholds are set reasonably.

Original languageEnglish
Title of host publicationProceedings of 2nd International Conference on Interaction Sciences
Subtitle of host publicationInformation Technology, Culture and Human
Pages1293-1296
Number of pages4
DOIs
Publication statusPublished - 2009
Event2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009 - Seoul, Korea, Republic of
Duration: 24 Nov 200926 Nov 2009

Publication series

NameACM International Conference Proceeding Series
Volume403

Conference

Conference2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009
Country/TerritoryKorea, Republic of
CitySeoul
Period24/11/0926/11/09

Keywords

  • Emerging patterns
  • Metamorphic malware
  • Software security
  • System call

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