Multiagent-based dendritic cell algorithm with applications in computer security

  • Authors:
  • Chung-Ming Ou;Yao-Tien Wang;C. R. Ou

  • Affiliations:
  • Department of Information Management, Kainan University, Luchu, Taiwan;Department of Computer Science and Information Engineering, Hungkuang University, Taichung, Taiwan;Department of Electrical Engineering, Hsiuping Institute of Technology, Taichung, Taiwan

  • Venue:
  • ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
  • Year:
  • 2011

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Abstract

Agent-based artificial immune system (ABAIS) is applied to intrusion detection systems (IDS). A multiagent-based IDS (ABIDS) inspired by the danger theory of human immune system is proposed. The intelligence behind ABIDS is based on the functionality of dendritic cells in human immune systems and the danger theory, while dentritic cells agents (DC agent) are emulated for innate immune subsystem and artificial T-cell agents (TC agent) are for adaptive immune subsystem. This ABIDS 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). Agents coordinate one another to calculate mature context antigen value (MCAV) and update activation threshold for security responses.