A novel technique for intrusion detection based on cutting-based real-valued negative selection scheme is proposed in this paper. Different from the current typical techniques, the proposed one sets a much more strict and reasonable mechanism to generate and optimize the set of mutual detector. Concretely, firstly, the new generating detector must be necessary and it should not be detected by the current existing mutual ones. Besides, those detectors coinciding with the self-set will be cut and optimized into several qualified ones which have better detecting abilities. Experimental results demonstrate that the proposed technique has much higher detecting rates.
목차
Abstract 1. Introduction 2. Traditional Real-valued Negative Selection Algorithm 3. Proposed Technique 3.1. The First Phase of Proposed Technique 3.2. The Second Phase of Proposed Technique 3.3. The Overall Algorithm of the Proposed Technique 4. Experimental Results and Analysis 5. Conclusion Acknowledgements References
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.9 No.9