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Directions in Network-Based Security Monitoring

Published: 01 January 2009 Publication History

Abstract

This article outlines some recently emerging research in network-based malicious software detection. The author discusses differences between traditional network intrusion detection and these new techniques, and highlights a new freely available tool called BotHunter.

Cited By

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  • (2021)A Framework for Generating Evasion Attacks for Machine Learning Based Network Intrusion Detection SystemsInformation Security Applications10.1007/978-3-030-89432-0_5(51-63)Online publication date: 11-Aug-2021
  • (2014)Network Based Malware Detection within Virtualised EnvironmentsRevised Selected Papers, Part I, of the Euro-Par 2014 International Workshops on Parallel Processing - Volume 880510.1007/978-3-319-14325-5_29(335-346)Online publication date: 25-Aug-2014

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Information & Contributors

Information

Published In

cover image IEEE Security and Privacy
IEEE Security and Privacy  Volume 7, Issue 1
January 2009
84 pages

Publisher

IEEE Educational Activities Department

United States

Publication History

Published: 01 January 2009

Author Tags

  1. attack trends
  2. intrusion detection
  3. malware
  4. network security

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Cited By

View all
  • (2021)A Framework for Generating Evasion Attacks for Machine Learning Based Network Intrusion Detection SystemsInformation Security Applications10.1007/978-3-030-89432-0_5(51-63)Online publication date: 11-Aug-2021
  • (2014)Network Based Malware Detection within Virtualised EnvironmentsRevised Selected Papers, Part I, of the Euro-Par 2014 International Workshops on Parallel Processing - Volume 880510.1007/978-3-319-14325-5_29(335-346)Online publication date: 25-Aug-2014

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