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Digital immune system for intrusion detection on data processing systems and networks

机译:用于在数据处理系统和网络上进行入侵检测的数字免疫系统

摘要

A method for detecting intrusion is provided using a combination of two AIS algorithms: Negative Selection Algorithm (NSA) and Dendritic Cell Algorithm (DCA). The method includes the following steps, or some functional subset of these steps: periodic monitoring of a data processing system for anomalous behavior that may indicate the presence of an intruder or an undesirable software; using the NSA for the generation of a population of detectors that are used for detecting anomalies in the monitored system via a matching criterion; using the DCA (which runs in parallel to the NSA) to sample traffic and signals coming in or out of the data processing system; using an aggregation system to combine the individual decisions of the NSA and the DCA to form a single final decision.
机译:提供了一种使用两种AIS算法的组合来检测入侵的方法:负选择算法(NSA)和树突状细胞算法(DCA)。该方法包括以下步骤,或这些步骤的一些功能子集:定期监视数据处理系统是否存在异常行为,这些异常行为可能表明存在入侵者或不良软件;使用NSA生成大量的检测器,这些检测器用于通过匹配标准检测受监视系统中的异常;使用DCA(与NSA并行运行)对进入或流出数据处理系统的流量和信号进行采样;使用汇总系统组合NSA和DCA的各个决策,以形成单个最终决策。

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