基于大数据的网络防火墙策略研究

Research on Network Firewall Strategy Based on Big Data

本文提出Change-Based Association Rule Mining(CBARM)方法。从历史防火墙日志记录中挖掘出新兴样式防火墙规则、新增样式防火墙规则及消失样式防火墙规则,从而动态的调整目前的防火墙规则,这样就可以更智能的完成对网络攻击的防护。

This article proposes the Change-Based Association Rule Mining(CBARM)method.From historical firewall log records,discover emerging style firewall rules,new style firewall rules,and disappear style firewall rules,so as to dynamically adjust the current firewall rules,this can be more intelligent to complete the protection of network attacks.