DocumentCode :
1853169
Title :
Biological Intrusion Prevention and Self-Healing Model for Network Security
Author :
Elsadig, Muna ; Abduallah, Azween
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear :
2010
fDate :
22-24 Jan. 2010
Firstpage :
337
Lastpage :
342
Abstract :
This paper describes a new approach for network security based on the combination of biological intrusion prevention and self-healing concepts. The presented system integrates an artificial immune intrusion prevention system for network security inspired by immunological theory known as danger theory. The approach is based upon data inspired by the human immune system (HIS). The IPS analyzes the malicious activities and their effect to trigger the self-healing system. That is detection of the damage caused by malicious activities is used to start the self - healing (SH) mechanism. This system is automated and enhances the fault repair and system recovery.
Keywords :
artificial immune systems; biocomputing; fault tolerant computing; security of data; system recovery; artificial immune intrusion prevention system; biological intrusion prevention; danger theory; fault repair; human immune system; immunological theory; malicious activity analysis; network security; self-healing model; system recovery; Biological system modeling; Biology computing; Data security; Detectors; Immune system; Information security; Intrusion detection; Monitoring; Robustness; Viruses (medical);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Networks, 2010. ICFN '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3940-9
Electronic_ISBN :
978-1-4244-5667-3
Type :
conf
DOI :
10.1109/ICFN.2010.103
Filename :
5431824
Link To Document :
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