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ANOMALY DETECTION SYSTEM USING DISTRUBUTED STORAGE OF TRAFFIC OF POWER PLANT CONTRL NETWROK ASSETS

机译:异常检测系统使用发电厂控制网络资产的分布式存储

摘要

An anomaly detection system using distributed storage of traffic of power plant control network assets is disclosed. a power plant control network asset traffic collection module that collects real-time traffic data between power plant control network assets performing network communication within the power plant control network; A traffic analysis module for real-time analysis of traffic data collected in real-time by the power plant control network asset traffic collection module is configured. According to the above-described anomaly detection system using distributed storage of the traffic of the power plant control network asset, the traffic data in the power plant control network is collected and analyzed by network port mirroring, so that the traffic in the power plant control network can be collected and analyzed without an agent. there is an effect In addition, by giving the UD code of each power plant control network asset, storing it in multiple distributed databases, and preparing each distributed database in real time, an intruder in the power plant directly accesses a specific distributed database to infect malicious code or data. It has the effect of being able to detect changes in real-time.
机译:公开了一种异常检测系统,使用分布式存储电厂控制网络资产流量。电厂控制网络资产业务收集模块,收集电厂控制网络资产之间的实时业务数据,该网络资产在电厂控制网络中进行网络通信;配置了电厂控制网络资产流量集模块实时收集的交通数据的实时分析的流量分析模块。根据使用发电厂控制网络资产的流量的分布式存储的上述异常检测系统,通过网络端口镜像收集和分析了电厂控制网络中的流量数据,从而电厂控制中的流量可以在没有代理的情况下收集和分析网络。另外还有一个效果,通过给出每个电厂控制网络资产的UD代码,将其存储在多个分布式数据库中,并实时准备每个分布式数据库,电厂中的入侵者直接访问特定的分布式数据库以感染恶意代码或数据。它具有能够在实时检测变化的效果。

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