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NETWORK ANOMALY DETECTION ALGORITHM USING THE DETECTOR SET BASED ON THE NEGATIVE SELECTION PRINCIPAL

机译:基于负选择原理的检测器集网络异常检测算法

摘要

PURPOSE: net abnormal condition detection algorithm is provided to the candidate data including detector network anomaly association state based on combinations of detectors using negative selection, reduces error detection. ;CONSTITUTION: binary number 10*n bit lengths are randomly generated, candidate (22) to generate detector group and abnormality. The element generates candidate data pre-generated data group (23) compared with normal condition. If identical data are combined without data in normal state, candidate's addition detector combination is abnormality data (231). If identical data are in normal combination, candidate is removed (24). ;The 2011 of copyright KIPO submissions
机译:目的:基于检测器组合使用否定选择,向包括检测器网络异常关联状态在内的候选数据提供净异常条件检测算法,减少错误检测。 ;组成:二进制数10 * n位长度是随机生成的,候选项(22)生成检测器组和异常。与正常条件相比,该元素生成候选数据预生成数据组(23)。如果在正常状态下没有数据就组合了相同的数据,则候选者的加法检测器组合是异常数据(231)。如果相同数据正常合并,则将候选者删除(24)。 ; 2011年版权KIPO提交文件

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