원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.11
2015.11
pp.101-112
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, a novel negative selection algorithm for recognition problems was given. Compared with the traditional negative selection algorithm, a co-stimulation signal was added to start the detectors, which a key factor in immune response. Co-stimulation signal was calculated by the techniques of the statistics and the sliding window, which not only reduced time complexity of algorithm but also improved accuracy of the algorithm. Entropy was adopted to evaluate the density of detectors for optimizing the coverage of nonself area. Experiment results proved high accuracy and efficiency of the proposed algorithm.
목차
Abstract
1. Introduction
2. Paper Preparation
3. A Novel Negative Selection Algorithm
3.1. Co-stimulation Signal
3.2. Estimation of the Detector Coverage
3.3. Antigen Recognition
4. Experiment Results
5. Conclusion
References
1. Introduction
2. Paper Preparation
3. A Novel Negative Selection Algorithm
3.1. Co-stimulation Signal
3.2. Estimation of the Detector Coverage
3.3. Antigen Recognition
4. Experiment Results
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보
