Malicious Code Execution Detection and Response Immune System Inspired by the Danger Theory

4 Pages Posted: 9 Sep 2016

See all articles by Julie Greensmith

Julie Greensmith

University of Nottingham - School of Computer Science

Jamie Twycross

University of Nottingham - School of Computer Science

Jungwon Kim

University College London

Uwe Aickelin

University of Melbourne - School of Computing and Information Systems

Date Written: January 1, 2005

Abstract

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.

Suggested Citation

Greensmith, Julie and Twycross, Jamie and Kim, Jungwon and Aickelin, Uwe, Malicious Code Execution Detection and Response Immune System Inspired by the Danger Theory (January 1, 2005). Available at SSRN: https://ssrn.com/abstract=2832006 or http://dx.doi.org/10.2139/ssrn.2832006

Julie Greensmith

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Jamie Twycross

University of Nottingham - School of Computer Science ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Jungwon Kim

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Uwe Aickelin (Contact Author)

University of Melbourne - School of Computing and Information Systems ( email )

Australia

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