Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Sensing danger: Innate immunology for intrusion detection
Information Security Tech. Report
A Hybrid Model for Immune Inspired Network Intrusion Detection
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Information fusion for anomaly detection with the dendritic cell algorithm
Information Fusion
The future of biologically-inspired security: is there anything left to learn?
NSPW '07 Proceedings of the 2007 Workshop on New Security Paradigms
Towards a novel immune inspired approach to temporal anomaly detection
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Biological inspiration for artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Regulatory T cells: inspiration for artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Integrating innate and adaptive immunity for intrusion detection
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
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
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Innate immunity now occupies a central role in immunology. However, artificial immune system models have largely been inspired by adaptive not innate immunity. This paper reviews the biological principles and properties of innate immunity and, adopting a conceptual framework, asks how these can be incorporated into artificial models. The aim is to outline a meta-framework for models of innate immunity.