Multi-agents Artificial Immune System (MAAIS) Inspired by Danger Theory for Anomaly Detection
CISW '07 Proceedings of the 2007 International Conference on Computational Intelligence and Security Workshops
Distributed agents model for intrusion detection based on AIS
Knowledge-Based Systems
Integrating Innate and Adaptive Immunity for Worm Detection
WKDD '09 Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining
Information fusion for anomaly detection with the dendritic cell algorithm
Information Fusion
A sense of self for Unix processes
SP'96 Proceedings of the 1996 IEEE conference on Security and privacy
An artificial immune system architecture for computer securityapplications
IEEE Transactions on Evolutionary Computation
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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.