A policy anomaly detecting algorithm based on mapreduce

Xuhua Zhang, Q. Wen
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Abstract

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.
基于mapreduce的策略异常检测算法
随着网络环境的复杂性,网络设备的使用出现了许多问题,网络设备的策略对于控制网络信息的传输至关重要。检测网络设备的策略异常是优化网络环境和提高网络安全性的必要条件。为了满足实时大数据量的需求,提出了一种基于MapReduce规则的策略异常检测算法。为了获得策略的高效率,我们构造了一个策略树,构建了Hadoop提供的宜人的操作环境,并使用分布式计算对策略树进行计算。
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