Data structures and algorithms for disjoint set union problems
ACM Computing Surveys (CSUR)
Communications of the ACM
The 1999 DARPA off-line intrusion detection evaluation
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on recent advances in intrusion detection systems
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Internet intrusions: global characteristics and prevalence
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Snort 2.1 Intrusion Detection, Second Edition
Snort 2.1 Intrusion Detection, Second Edition
Architecture for an Artificial Immune System
Evolutionary Computation
Toward a Query Language for Network Attack Data
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Immune system approaches to intrusion detection --- a review
Natural Computing: an international journal
Integrating innate and adaptive immunity for intrusion detection
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Articulation and clarification of the dendritic cell algorithm
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Towards a conceptual framework for innate immunity
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Towards the reduction of data used for the classification of network flows
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
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This paper introduces a hybrid model for network intrusion detection that combines artificial immune system methods with conventional information security methods. The Network Threat Recognition with Immune Inspired Anomaly Detection, or NetTRIIAD, model incorporates misuse-based intrusion detection and network monitoring applications into an innate immune capability inspired by the immunological Danger Model. Experimentation on a prototype NetTRIIAD implementation demonstrates improved detection accuracy in comparison with misuse-based intrusion detection. Areas for future investigation and improvement to the model are also discussed.