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Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory

Muna, Elsadig and Azween, Abdullah (2010) Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory. In: 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010, Singapore.

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Abstract

In this paper, software system, design theories and human immune system (HIS) features are used to introduce a novel algorithm for the problem of preventing intrusions and healing the damage which they cause. The HIS features are analyzed and modelled to monitor network systems as to whether the inline activities are behaving abnormally or being attacked. The abnormal activities are prevented and healed by the presented algorithms. We show how the use of biological immune systems, which incorporate an innate, adaptive immune system and self-healing mechanism, can reduce the number of false alerts and heal the damage caused by intrusion. This autonomous system improves the performance of the current Intrusion Prevention System (IPS) and carries on system continuity by using the Self–Healing (SH) mechanism.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Research Institutes > Megacities
ID Code:2291
Deposited By: Assoc Prof Dr Azween Abdullah
Deposited On:24 Jun 2010 02:43
Last Modified:19 Jan 2017 08:24

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