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Improved Negative Selection Algorithm Based on Bloom Filter

机译:改进的基于布隆过滤器的负选择算法

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摘要

Negative selection algorithm is a prosing method in anomaly detection. How to improve complexity of the detector generation and speedup the detection efficiency is an open issue. The paper put forward an improved negative selection algorithm based on bloom filter. It reduced the overhead of detector generation and significantly cut down the matching scale. The related experiments proved the effectiveness of the improved algorithm.
机译:负选择算法是异常检测中的一种改进方法。如何提高检测器生成的复杂性并加快检测效率是一个悬而未决的问题。提出了一种基于布隆过滤器的改进的否定选择算法。它减少了检测器生成的开销,并大大降低了匹配规模。相关实验证明了改进算法的有效性。

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