DocumentCode :
2350191
Title :
Survey on Artificial Immune System as a Bio-inspired Technique for Anomaly Based Intrusion Detection Systems
Author :
Hosseinpour, Farhoud ; Bakar, Kamalrulnizam Abu ; Hardoroudi, Amir Hatami ; Kazazi, Nazaninsadat
Author_Institution :
Fac. of Comput. Sci. & Inf. Syst., Univ. of Technol. Malaysia, Kuala Lumpur, Malaysia
fYear :
2010
fDate :
24-26 Nov. 2010
Firstpage :
323
Lastpage :
324
Abstract :
During the last few years, need for protection of computer networks from the outside world is evident. Connectivity of the computer networks to worked wide internet exposes them to many kinds of cyber crimes. Currently Intrusion detection systems have grown to be an ordinary component of network security infrastructure. With mounting global network connectivity, the issue of intrusion has achieved importance, promoting active research on efficient Intrusion Detection Systems (IDS). Artificial Immune System (AIS) is a new bio-inspired model, which is applied for solving various problems in the field of information security. The unique features AIS encourage the researchers to employ this techniques in variety of applications and especially in intrusion detection systems. This paper presents a survey on current Artificial Immune System based Intrusion Detections.
Keywords :
artificial immune systems; computer network security; anomaly based intrusion detection systems; artificial immune system; bioinspired model; computer networks; cybercrimes; global network connectivity; information security; AIS; Danger Theory; IDS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCOS), 2010 2nd International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-8828-5
Electronic_ISBN :
978-1-4244-4278-2
Type :
conf
DOI :
10.1109/INCOS.2010.40
Filename :
5702114
Link To Document :
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