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Kim, Jungwon; Greensmith, Julie; Twycross, Jamie; Aickelin, Uwe (2005)
Languages: English
Types: Unknown
Subjects: Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Computer Science - Cryptography and Security
The analysis of system calls is one method employed by anomaly detection systems to recognise malicious code execution. Similarities can be drawn between this process and the behaviour of certain cells belonging to the human immune system, and can be applied to construct an artificial immune system. A recently developed hypothesis in immunology, the Danger Theory, states that our immune system responds to the presence of intruders through sensing molecules belonging to those invaders, plus signals generated by the host indicating danger and damage. We propose the incorporation of this concept into a responsive intrusion detection system, where behavioural information of the system and running processes is combined with information regarding individual system calls.

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