Earticle

초록

영어

A novel technique for intrusion detection based on real-valued dual negative selection scheme is proposed in this paper. In traditional real-valued negative selection algorithms, whether the candidate detectors can detect self-set or not totally relies on the affinity extent and the constant-sized mechanism is unfavorable to eliminating the black holes with irregular sizes. The proposed technique introduces the mechanism of variable-sized dual negative selection, in which each mutual detector has to pass three tests. Firstly, the new mutual detector should not be detected by the current existing ones. In other words, the existence of the new detector is necessary. Secondly, those detectors which can detect self-set will be eliminated. Thirdly, the detectors distribution has to be optimized aiming at enhancing the detecting efficiency. Experimental results demonstrate that the proposed technique has much less black holes, fewer detectors and higher detecting rates.

목차

Abstract
 1. Introduction
 2. Traditional Real-valued Negative Selection Algorithm
 3. Proposed Technique
  3.1. The First Process of Negative Selection
  3.2. The Second Process of Negative Selection
  3.3. Optimization of the Mature Detector Set
 4. Experimental Results and Analysis
 5. 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 ]

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