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针对目前网络安全防护技术的缺陷,提出一种基于异常分析的网络自保护机制.为提高对网络攻击的检测能力和防护能力,提出一种基于多元异常分析的网络攻击检测算法.该算法根据网络流测量指标的异常偏差值对其进行分类,对不同种类的网络流分配不同的路由调度优先级,可明显削弱网络攻击对正常网络通信流的影响.实验结果表明,该自保护机制能显著提高网络系统应对分布式拒绝服务攻击的防护能力.
Aiming at the defects of current network security technology, this paper proposes a network self-protection mechanism based on anomaly analysis.To improve the detection ability and the protection ability of network attacks, this paper proposes a network attack detection algorithm based on multivariate anomaly analysis, The abnormal deviation value of flow measurement index can be used to classify them and assign different priorities to different types of network flows, which can significantly reduce the impact of network attacks on normal network traffic.Experimental results show that the self-protection mechanism can be significantly improved Network system to deal with the protection of distributed denial of service attacks.