分布式智能网络流量监控与异常检测方法的应用

M. Syukur, M. Pasha, S. Ramadass, R. Budiarto
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引用次数: 0

摘要

监控一个连接数千台计算机的大型企业网络,每天产生数十亿个数据包,这是一项挑战和艰巨的任务!本文提出了一种分布式的智能网络流量监控与异常检测系统。采用分布式客户端-服务器方案,系统可以监控多个网段,并在智能客户端之间分配工作负载,实现异常监控和检测。通过这种方式,可以降低一次分析大量流量的复杂性。服务器的主要任务只是管理智能客户端在各自网段中使用的来自不同网段的所有不同配置文件
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Distributed Approach of Intelligent Network Traffic Monitoring and Anomaly Detection Application
Monitoring a large corporate network connecting thousands of computers which generate billions of packets everyday is a challenge and difficult task! This paper proposes a distributed approach of intelligent network traffic monitoring and anomaly detection system. By utilizing a distributed client-server scheme, our proposed system can monitor multiple network segments and distribute the workload among the intelligent clients to monitor and detect anomaly. In this way, the complexity of having analyzing enormous traffic at once can be reduced. The server's primary task is only to manage all different profiles from different network segment used by the intelligent clients in their respective segments
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