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System for DDoS attack mitigation by discovering the attack vectors through statistical traffic analysis

机译:通过统计流量分析发现攻击向量的DDOS攻击系统

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摘要

DDoS attacks are becoming an increasing threat to the internet due to the easy availability of user-friendly attack tools. In meantime defending from such attacks is very difficult, because it is very hard to differentiate between the legitimate traffic and attack traffic and also maintain the attacked service still accessible while under attack. This paper describes a method for discovering the vector of a DDoS attack using statistical traffic analysis. The discussed methods are based on having a notification of the attack and making a statistical analysis of the attack traffic to find the vector and profiling a statistical baseline of normal traffic and discovering the abnormal traffic as a difference in the statistical parameters of TCP/IP packets in a given moment to the baseline and thus making a decision of the attack and its vector simultaneously.
机译:由于用户友好的攻击工具,DDOS攻击正成为对互联网的巨大威胁。与此同时,在这种攻击中的平衡卫冕非常困难,因为很难区分合法的流量和攻击流量,并且还在攻击时维护仍然可访问的攻击服务。本文介绍了一种使用统计业务分析发现DDOS攻击的载体的方法。讨论的方法基于对攻击的通知并对攻击流量进行统计分析,找到载体和分析正常流量的统计基线,并发现异常流量作为TCP / IP数据包的统计参数的差异。在给定时刻到基线,从而同时做出攻击的决定及其载体。

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