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A policy anomaly detecting algorithm based on mapreduce

机译:基于mapreduce的策略异常检测算法

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摘要

With the complexity of the network environment, there are many problems with using network devices, the policies of network devices are vitally important to control the transmission of the network information. It is necessary for network environment optimization and network security improvement to detect the policy anomaly of the network devices. We put forward a policy anomaly detection algorithm based on the rule of MapReduce in order to meet the requirement of real-time and large quantity of data. In order to get the high efficiency of the policy, we construct a policy tree, build a pleasant operation environment provided by Hadoop and use distribute computing to calculate the tree.
机译:随着网络环境的复杂性,使用网络设备存在许多问题,网络设备的策略对于控制网络信息的传输至关重要。为了优化网络环境和提高网络安全性,必须检测网络设备的策略异常。为了满足实时,海量数据的需求,提出了一种基于MapReduce规则的策略异常检测算法。为了获得较高的策略效率,我们构建了一个策略树,构建了Hadoop提供的令人愉悦的操作环境,并使用分布式计算来计算该树。

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