计算机科学 ›› 2009, Vol. 36 ›› Issue (8): 79-81.
• 计算机网络与信息安全 • 上一篇 下一篇
王大伟,张风斌
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WANG Da-wei , ZHANG Feng-bin
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摘要: 针对实值否定选择算法中由边界困境问题引发的在自体与非自体区域边界产生漏洞的现象,提出了一种采用边界检测器的实值否定选择算法。该算法在边界上生成具有一定侵略性的边界检测器,通过边界阂值控制的边界检测器不仅能够有效地减少边界上的漏洞,还能探明自体与非自体区域边界。使用人工数据和MIT Darpa 1998离线数据对算法进行了测试,结果表明尽管新方法具有较高的最小误报率,但在误报率相同的情况下,有更高的检测率。
关键词: 人工免疫,否定选择算法,边界困境,漏洞
Abstract: A large quantity of holes is generated on the boundary of self and nonsclf region, because of the boundary dilemma of real-valued negative selection (RNS) algorithm. A real-valued negative selection algorithm with boundary delectors was presented. In the new approach,the detectors were interpreted using an aggressive interpretation,and during the training phase the boundary detectors whose aggressiveness was controlled by boundary threshold were generated and deployed on the boundary. The boundary detectors can reduce the holes on the boundary efficiently, and also probe the boundary between the self and nonsclf region implicitly. The algorithm was tested using both synthetic 2-D data set and MIT Darpa 1998 offline data set. Results demonstrate that the new approach has a much higher detection rate than RNS algorithm, in the case of the same false alarm rate, although it has a little higher minimum false alarm rate.
Key words: Artificial immune,Negative selection algorithm, Boundary dilemma, Hole
王大伟,张风斌. 一种采用边界检测器的实值否定选择算法[J]. 计算机科学, 2009, 36(8): 79-81. https://doi.org/
WANG Da-wei , ZHANG Feng-bin. Real-valued Negative Selection Algorithm with Boundary Detectors[J]. Computer Science, 2009, 36(8): 79-81. https://doi.org/
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