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An Improved Adjustable Threshold Intrusion Detection Negative Selection Immune Algorithm(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2011年03期
Page:
78-82
Research Field:
Publishing date:

Info

Title:
An Improved Adjustable Threshold Intrusion Detection Negative Selection Immune Algorithm
Author(s):
Zhai Hongqun; Feng Maoyan
Information Department,Jiangsu Maritime Institute,Nanjing 211170,China
Keywords:
negative selection; optimal search; detector set; black holes
PACS:
TP393.08
DOI:
-
Abstract:
Success in confirming the most effective detector set is a key step to improve negative selection algorithm capability， which has a direct affect on efficiency and veracity of system． Fuzzy idea was used to put forward an adjustable threshold negative selection immune algorithm of creating the most effective detector set． The rate of mature detector activated can be improved effectively based on optimal search theory and the number of black holes can be reduced clearly through adjusting matching threshold in this algorithm． The simulation results indicate that this new algorithm in comparison with the original algorithm，is of higher detection efficiency and lower detection holes number，and thus the algorithm has better robustness．

References:

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Last Update: 2013-03-21