Learning from big malwares

Linhai Song, Heqing Huang, Wu Zhou, Wenfei Wu, Yiying Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper calls for the attention to investigate real-world malwares in large scales by examining the largest real malware repository, VirusTotal. As a first step, we analyzed two fundamental characteristics of Windows executable malwares from VirusTotal. We designed offline and online tools for this analysis. Our results show that malwares appear in bursts and that distributions of malwares are highly skewed.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th ACM SIGOPS Asia-Pacific Workshop on Systems, APSys 2016
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450342650
DOIs
StatePublished - Aug 4 2016
Event7th ACM SIGOPS Asia-Pacific Workshop on Systems, APSys 2016 - Hong Kong, China
Duration: Aug 4 2016Aug 5 2016

Publication series

NameProceedings of the 7th ACM SIGOPS Asia-Pacific Workshop on Systems, APSys 2016

Other

Other7th ACM SIGOPS Asia-Pacific Workshop on Systems, APSys 2016
CountryChina
CityHong Kong
Period8/4/168/5/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture

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