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Malicious code detection in LRD networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
2005 (English)In: Proceedings of the 3rd Regional Inter-University Postgraduate Electrical and Electronic Engineering Conference (RIUPEEEC'05), July 2005, Hongkong, China, 2005Conference paper, (Other academic)
Abstract [en]

Following the development of Internet and the improvement of network services, network malicious code, delegated by worms, has become a major threat to peoples normal life. The research work related to worm detection is urgent but difficult. In this paper, we present a worm trend early detection method based on the long-range dependence (LRD) analysis of scan traffic entering the monitored network. Simulating experiments combined with real scan traffic show that our method can detect uniform scan worms at early stage. In addition, because our method is based on the idea of trend detection, not traditionally burst detection, generic hacker attacks and scans cannot cause false alarms for their stochastic essence.

Place, publisher, year, edition, pages
2005.
Series
Keyword
Worm Detection, Long-range Dependence
National Category
Computer Science
Identifiers
URN: urn:nbn:se:miun:diva-6691OAI: oai:DiVA.org:miun-6691DiVA: diva2:37602
Available from: 2008-12-08 Created: 2008-10-08 Last updated: 2009-01-07Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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Output format
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