Research and Applications on Detector Generation Algorithm Based on Neural Networks
Author(s): WU Hai-bo
Pages: 249-252
Year: 2015 Issue: 9
Journal: Netinfo Security
Keyword: artiifcial immune systems; negative selection; neural networks; detector generation algorithm;
Abstract: Negative selection algorithm (NSA) is an important method of generating artiifcial immune detectors, and efficient detector generation algorithm is the kernel of intrusion detection. Aiming at conventional NSA detectors are not adaptive for dealing with time-varying circumstances, this paper analyzed the negative selection algorithm principle in an artiifcial immune system, and put forward a detector generation algorithm based on neural networks. Taking advantage of efifcient neural networks training, it has the distinguishing capability of adaptation. Experimental results show that the algorithm performs well that it improves the detection rate and reduces the false dtection rate.
Pages: 249-252
Year: 2015 Issue: 9
Journal: Netinfo Security
Keyword: artiifcial immune systems; negative selection; neural networks; detector generation algorithm;
Abstract: Negative selection algorithm (NSA) is an important method of generating artiifcial immune detectors, and efficient detector generation algorithm is the kernel of intrusion detection. Aiming at conventional NSA detectors are not adaptive for dealing with time-varying circumstances, this paper analyzed the negative selection algorithm principle in an artiifcial immune system, and put forward a detector generation algorithm based on neural networks. Taking advantage of efifcient neural networks training, it has the distinguishing capability of adaptation. Experimental results show that the algorithm performs well that it improves the detection rate and reduces the false dtection rate.
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