Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Negative Selection Algorithm (NSA)
 3. Intrusion Detection Model based on Negative Selection
 4. Negative Selection Algorithm Based on Minkowsky Distance
 5. Intrusion Detection Test
  5.1. Test and Analysis of Algorithms
  5.2. Experiment and Analysis of the Performance of Intrusion Detection Method
 6. Conclusion
 References

키워드

저자

• Niu Ling [ Zhou Kou Normal University，Zhoukou 466001，China ]
• Feng Gao-feng [ JiYuan Vocational and Technical College, JiYuan Henan 454650, China ]
• Peng Hai-yun [ Zhou Kou Normal University, Zhoukou, 466001，China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605