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IJSTR >> Volume 8 - Issue 10, October 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



INTRUSION DETECTION USING BIOLOGICAL INSPIRED IMMUNE SYSTEM

[Full Text]

 

AUTHOR(S)

Ankita Trivedi , Dr. Aumreesh Kumar Saxena, M. Arshad , Mr. Shivendra Dubey and Dr. Sitesh Kumar Sinha

 

KEYWORDS

Adaptive immune system, innate immune system, intrusion detection, negative selection algorithm, human immune system. detection rate, network security.

 

ABSTRACT

Researchers and scientists are always motivated by environment and natural organisms to crack real world problems. Protection of computer systems is no exclusion. For identifying intrusion, artificial immune system motivated from natural defense system works proficiently. In this proposed methodology, we are implementing two levels of defense for computer security. The primary level of defense is Innate Immune system and the secondary is Adaptive Immune system. For Innate immune system, detectors are generated using negative selection algorithm. The result reveals the effectiveness of proposed methodology for detecting intrusion against malicious attacks on the network system

 

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