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An anomaly detection system based on variable N-gram features and one-class SVM

  • Published:2017-11 Issue: Volume:91 Page:186-197
  • ISSN:0950-5849
  • Container-title:Information and Software Technology
  • language:en
  • Short-container-title:Information and Software Technology

Author:

Khreich Wael,Khosravifar Babak,Hamou-Lhadj Abdelwahab,Talhi Chamseddine

Funder

Natural Sciences and Engineering Research Council of Canada

Defence Research and Development Canada

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference68 articles.

1. An intrusion detection model;Denning,1986

2. Defending yourself: the role of intrusion detection systems;McHugh;IEEE Softw.,2000

3. Intrusion detection systems: a survey and taxonomy;Axelsson,2000

4. Intrusion detection system: a comprehensive review;Liao;J. Netw. Comput. Appl.,2013

5. Casting out demons: sanitizing training data for anomaly sensors;Cretu,2008

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