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Multi-Agent Artificial Immune Systems (MAAIS) for Intrusion Detection: Abstraction from Danger Theory

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Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5559))

Abstract

Danger theory-inspired Multi-agent artificial immune system (MAAIS) is applied to intrusion detection systems (IDS). Antigens are profiles of system calls while corresponding behaviors are regarded as signals. The intelligence behind such system is based on the danger theory while dentricit cells agents (DC agent) are emulated for innate immune subsystem and artificial T-cell agents (TC agent) are for adaptive immune subsystem. This IDS is based on the dual detections of DC agent for signals and TC agent for antigen, where each agent coordinates with other to calculate danger value (DV). According to DV, immune response for malicious behaviors is activated by either computer host or Security Operating Center (SOC).

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Author information

Authors and Affiliations

  1. Department of Information Management, Kainan University, #1 Kainan Rd. Luchu, Taoyuan 338, Taiwan

    Chung-Ming Ou

  2. Department of Electrical Engineering, Hsiuping Institute of Technology, Taichung, 412, Taiwan

    C. R. Ou

Authors
  1. Chung-Ming Ou
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  2. C. R. Ou
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Editor information

Editors and Affiliations

  1. Department of Computer and Systems Science, Stockholm University, Forum 100, 164 40, Kista, Sweden

    Anne Håkansson

  2. Institute of Informatics, Wroclaw University of Technology, Str. Janiszweskiego 11/17, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Department of Computer Science, Franklin University, 201 South Grant Ave., 43215, Columbus, Ohio, USA

    Ronald L. Hartung

  4. School of Environment and Technology, Centre for SMART Systems, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  5. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2009 Springer-Verlag Berlin Heidelberg

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Ou, CM., Ou, C.R. (2009). Multi-Agent Artificial Immune Systems (MAAIS) for Intrusion Detection: Abstraction from Danger Theory. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_2

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  • DOI: https://doi.org/10.1007/978-3-642-01665-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01664-6

  • Online ISBN: 978-3-642-01665-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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