Title :
Intrusion Prevention and self-healing algorithms inspired by danger theory
Author :
Elsadig, Muna ; Abdullah, Azween ; Samir, Brahim Belhaouari
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. Teknol. PETRONAS, Tronoh, Malaysia
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.
Keywords :
artificial immune systems; computer network security; fault tolerant computing; HIS features; abnormal activity; adaptive immune system; artificial immune system; autonomous system; biological immune system; computer network security; danger theory; design theory; false alert; human immune system; intrusion prevention; network system monitoring; self-healing algorithm; software system; system continuity; Adaptive systems; Computer networks; Computer security; Distributed control; Humans; Immune system; Intelligent networks; Monitoring; Pathogens; Software algorithms; Self-healing; artificial immune system; danger theory; intrusion prevention;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451886
