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Towards embedded Artificial Intelligence based security for computer systems

UNSPECIFIED (2008) Towards embedded Artificial Intelligence based security for computer systems. In: UNSPECIFIED, ? - ?.

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Abstract

This paper presents experiments using Artificial Intelligence (AI) algorithms for online monitoring of integrated computer systems, including System-on-Chip based embedded systems. This new framework introduces an AI-lead infrastructure that is intended to operate in parallel with conventional monitoring and diagnosis techniques. Specifically, an initial application is presented, where each of the system's software tasks are characterised online during their execution by a combination of novel hardware monitoring circuits and background software. These characteristics then stimulate a Self-Organising Map based classifier which is used to detect abnormal system behaviour, as caused by failure and malicious tampering including viruses. The approach provides a system-level perspective and is shown to detect subtle anomalies. © 2008 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings BLISS 2008 - 2008 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Clare Chatfield
Date Deposited: 19 Sep 2013 09:36
Last Modified: 09 Jan 2019 02:15
URI: http://repository.essex.ac.uk/id/eprint/6885

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