基于遗传神经网络的入侵检测系统ONE-CLASS分类器设计
Microcomputer Information(2011)
Abstract
为适应高速网络中的数据处理速度,设计了将识别出的正常数据抛弃的入侵检测系统one-class分类器。检测模块采用GA与BP相结合的智能算法。该算法利用神经网络自身具有并行性、鲁棒性等特点,可以大大减少分类器的计算时间。
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Key words
genetic algorithm,intrusion detection systems,BP neural network,one-class classifier
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