Abstract
There are a lot of redundancy and over all issues in the artificial immune system (AIS) because of using the traditional negative selection algorithm (NSA) to generate detectors. It is the main reason for the high false percentage and high missed percentage in the intrusion detection system (IDS). Therefore, an improved immune detector generation algorithm is put forward. By calculating the optimal size of mature detector set and using the twice match in the improved algorithm. The efficiency of the IDS can be guaranteed. In the last, simulation experiments show that the improved algorithm can cover the more nonself and had a higher detection rate in the IDS.
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Acknowledgments
Foundation item: The 2013 Natural Science Foundation Project of Hebei North University (Q2013006) and the paper is supported by population health information engineering technology research center in Hebei North University.
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© 2016 Springer Science+Business Media Singapore
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Renjie, W., Xiaoling, G., Xiao, Z. (2016). A Algorithm of Detectors Generating Based on Negative Selection Algorithm. In: Hung, J., Yen, N., Li, KC. (eds) Frontier Computing. Lecture Notes in Electrical Engineering, vol 375. Springer, Singapore. https://doi.org/10.1007/978-981-10-0539-8_14
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DOI: https://doi.org/10.1007/978-981-10-0539-8_14
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