Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security

Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security

Inspired by the immune system and multi agent system, architecture of dynamic protection immune multi-agent and self-healing system for network intrusion prevention is proposed. This paper describes the architecture of hybrid intrusion detection and prevention system (IPS) combines with a self-...

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Main Authors: Muna , Elsadig, Azween, Abdullah
Format: Conference or Workshop Item
Published: 2008
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utp.edu.my/5414/1/bio_inspired_intrusion_prevention_architecture-innovation.pdf
http://eprints.utp.edu.my/5414/
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Institution: Universiti Teknologi Petronas
id my.utp.eprints.5414
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spelling my.utp.eprints.54142017-01-19T08:26:03Z Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security Muna , Elsadig Azween, Abdullah QA75 Electronic computers. Computer science Inspired by the immune system and multi agent system, architecture of dynamic protection immune multi-agent and self-healing system for network intrusion prevention is proposed. This paper describes the architecture of hybrid intrusion detection and prevention system (IPS) combines with a self-healing model that incorporates an artificial immune intrusion prevention system for network security. Our architecture based upon data inspired by the natural immune human system. The IPS analyzes the anomalous activities to trigger the self-healing system. The detection of the damage caused by attacks is used to start the self - healing system (SH). This system is automaton and enhances the fault repair and system recovery. 2008-12 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/5414/1/bio_inspired_intrusion_prevention_architecture-innovation.pdf Muna , Elsadig and Azween, Abdullah (2008) Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security. In: international conference on innovations in information technology 2008, 16-18, Al Ain. http://eprints.utp.edu.my/5414/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Muna , Elsadig
Azween, Abdullah
Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security
description Inspired by the immune system and multi agent system, architecture of dynamic protection immune multi-agent and self-healing system for network intrusion prevention is proposed. This paper describes the architecture of hybrid intrusion detection and prevention system (IPS) combines with a self-healing model that incorporates an artificial immune intrusion prevention system for network security. Our architecture based upon data inspired by the natural immune human system. The IPS analyzes the anomalous activities to trigger the self-healing system. The detection of the damage caused by attacks is used to start the self - healing system (SH). This system is automaton and enhances the fault repair and system recovery.
format Conference or Workshop Item
author Muna , Elsadig
Azween, Abdullah
author_facet Muna , Elsadig
Azween, Abdullah
author_sort Muna , Elsadig
title Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security
title_short Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security
title_full Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security
title_fullStr Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security
title_full_unstemmed Bio Inspired Intrusion Prevention and Self-healing Architecture for Network Security
title_sort bio inspired intrusion prevention and self-healing architecture for network security
publishDate 2008
url http://eprints.utp.edu.my/5414/1/bio_inspired_intrusion_prevention_architecture-innovation.pdf
http://eprints.utp.edu.my/5414/
_version_ 1738655402889838592

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