원문정보
보안공학연구지원센터(IJSIA)
International Journal of Security and Its Applications
Vol.9 No.9
2015.09
pp.95-104
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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
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
저자정보
참고문헌
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