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  • 标题:Technique for Intrusion Detection based on Minkowsky Distance Negative Selection Algorithm
  • 本地全文:下载
  • 作者:Niu Ling ; Feng Gao-feng ; Peng Hai-yun
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2015
  • 卷号:9
  • 期号:12
  • 页码:1-10
  • DOI:10.14257/ijsia.2015.9.12.01
  • 出版社:SERSC
  • 摘要:Traditional negative selection algorithms often result in a number of black holes, which directly leads to the missing alarm drawback in the intrusion detection system. In order to settle the above problem, a novel negative selection algorithm based on Minkowsky distance is proposed. Firstly, the proposed algorithm computes the Minkowsky distance between the detectors. Then, compute the serial same numbers between the detector and self-set strings, which is helpful to improve the coverage area of the detector. Finally, the new detectors after training and renewal are put into the mature detector set to decline the number of black holes. Experimental results demonstrate that, compared with the traditional negative selection algorithms, the number of black holes and the missing alarm rate decline a lot in the proposed algorithm.
  • 关键词:Artificial immune; Negative selection algorithm; Minkowsky distance; ; Intrusion detection
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