基于信息熵的通信网络流量异常监测系统设计

Design of Communication Network Flow Anomaly Monitoring System Based on Information Entropy

通过分析通信网络流量,可以在掌握通信网络运行的条件下挖掘异常行为。结合信息熵概念,提出一种全新的通信网络流量异常监测系统。通过流量采集探测装置、异常诊断芯片选择以及复位电路等硬件设计,以及基于信息熵的异常流量挖掘与通信网络流量异常监测熵模式提取等软件设计,实现对通信网络流量异常的实时监测。实验证明,该系统与传统系统相比具有更高的监测精度,并提升了用户对通信网络流量实时情况的感知能力。

By analyzing the traffic of the communication network,it is possible to mine abnormal behaviors under the conditions of grasping the operation of the communication network.Combined with the concept of information entropy,a new communication network flow anomaly monitoring system is proposed.Real-time monitoring of communication network flow anomalies is achieved through hardware design such as flow collection and detection devices,abnormality diagnosis chip selection,reset circuit,and software design based on information entropy-based abnormal flow mining and communication network flow abnormality monitoring entropy pattern extraction.Experiments prove that the system has higher monitoring accuracy than traditional systems,and improves the user’s ability to perceive the real-time situation of communication network traffic.