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
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