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

• Main Authors: Muna , Elsadig, Azween, Abdullah
• Format: Conference or Workshop Item
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utp.edu.my/739/1/bio_inspired_intrusion_prevention_architecture-innovation.pdf; http://eprints.utp.edu.my/739/
• Institution: Universiti Teknologi Petronas

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.