Intrusion detection using autonomous agents
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on recent advances in intrusion detection systems
An artificial immune system model for intelligent agents
Future Generation Computer Systems - Special issue on bio-impaired solutions to parallel processing problems
Immunity-Based Systems
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1
Immune system approaches to intrusion detection --- a review
Natural Computing: an international journal
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
Intelligent agent based artificial immune system for computer security--a review
Artificial Intelligence Review
Agent-based artificial immune system approach for adaptive damage detection in monitoring networks
Journal of Network and Computer Applications
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 adopted to intrusion detection system (IDS). An agent-based IDS (ABIDS) inspired by the danger theory of human immune system is proposed. Multiple agents are embedded to ABIDS, where agents coordinate one another to calculate mature context antigen value (MCAV) and update activation threshold for security responses. The intelligence behind ABIDS is based on the danger theory and the functionalities of dendritic cells in human immune systems, while dendritic cells agents (DC agent) are emulated for innate immune subsystem and artificial T-cell agents (TC agent) are for adaptive immune subsystem. Antigens are profiles of system calls while corresponding behaviors are regarded as signals. This ABIDS is based on the dual detections of DC agents for signals and TC agents for antigens. ABAIS is an intelligent system with learning and memory capabilities. According to MCAVs, immune response to malicious behaviors is activated by either computer host or Security Operating Center. Accordingly, computer hosts met with malicious intrusions can be effectively detected by input signals and temporary output signals such as PAMP, danger and safe signals.