A neural network component for an intrusion detection system
作者： H. Debar , M. Becker , D. Siboni
关键词:
摘要: An approach toward user behavior modeling that takes advantage of the properties neural algorithms is described, and results obtained on preliminary testing are presented. The basis IDES (Intruder Detection Expert System) which has two components, an expert system looking for evidence attacks known vulnerabilities a statistical model computer under surveillance. This learns habits when he works with computer, raises warnings current not consistent previously learned patterns. authors suggest time series to add broader scope model. They therefore feel need alternative techniques introduce use network component user's as intrusion detection system. >
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acm.org 参考文章(7)
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