| Título: | Biological Inspired Intrusion Prevention and Self-healing System for Network Security Based on Danger Theory |
| Autores: |
muna elsadig mohamed ahmed; Department of Computer and Information Science Universiti Teknologi PETRONASBandar Seri Iskandar, 31750 Tronoh, Perak,Malaysia Azween abdullah |
| Fecha: | 2010-01-05 |
| Publicador: | International Journal of Computer Science Letters |
| Fuente: |
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| Tipo: | |
| Tema: | Artificial immune system, Network Security, intrusion prevention, Self-healing, agent |
| Descripción: | This paper presents an approach for intrusion prevention and self-healing system for network security. The approach detects, prevents, and heals harmful events, which are the actual reasons for damage of any of the system’s components. The proposed approach explores the design and implementation of artificial immune systems (AISs) inspired by the human immune system, in solving the problem of network security. A novel approach for network security based on the combination of biological intrusion prevention (IP) and self-healing concepts is proposed. The system integrates an artificial immune intrusion prevention system for network security inspired by the immunology theory known as danger theory and adaptive immune system. The approach is based upon data inspired by the human immune system (HIS), which applied to the autonomous defense system. The present model looks at the danger model and its application to attack defense in order to create a fully decentralized model. The intrusion prevention system (IPS) analyzes the behavior of system processes and network traffic to detect harmful events. Abnormal behaviors are the actual reason for damage of any of the system’s components. The detection of the damage caused by different types of malicious events or attack profiles is used to trigger the self - healing (SH) mechanism. This system is autonomous and enhances the fault repair and system recovery. |
| Idioma: | Inglés |