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CORR
2010
Springer
206views Education» more  CORR 2010»
13 years 4 months ago
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...
Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook
CORR
2008
Springer
125views Education» more  CORR 2008»
13 years 4 months ago
Sensing Danger: Innate Immunology for Intrusion Detection
The immune system provides an ideal metaphor for anomaly detection in general and computer security in particular. Based on this idea, artificial immune systems have been used for...
Uwe Aickelin, Julie Greensmith
GECCO
2007
Springer
129views Optimization» more  GECCO 2007»
13 years 10 months ago
Procreating V-detectors for nonself recognition: an application to anomaly detection in power systems
The artificial immune system approach for self-nonself discrimination and its application to anomaly detection problems in engineering is showing great promise. A seminal contribu...
Min Gui, Sanjoy Das, Anil Pahwa
CIS
2009
Springer
13 years 8 months ago
A Hierarchical Artificial Immune Model for Virus Detection
Abstract-- As viruses become more complex, existing antivirus methods are inefficient to detect various forms of viruses, especially new variants and unknown viruses. Inspired by i...
Wei Wang, Pengtao Zhang, Ying Tan, Xingui He
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 4 months ago
Detecting Danger: The Dendritic Cell Algorithm
l invaders in the form of pathogens. In this research, and abstract model of DC behaviour is developed and subsequently used to form an algorithm, the DCA. The abstraction process ...
Julie Greensmith, Uwe Aickelin, Steve Cayzer