ANALYSIS AND EVALUATION OF DISTRIBUTED DENIAL OF SERVICE ATTACKS IDENTIFICATION METHODS

被引：0
|
作者：
Grusnys, Saulius [1 ]
Lagzdinyte, Ingrida [1 ]
机构：
[1] Kaunas Univ Technol, Dept Comp Networks, Kaunas, Lithuania
来源：
INFORMATION TECHNOLOGIES' 2010 | 2010年
关键词：
Distributed Denial of Service; DDoS; DDoS identification methods;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Defending against Distributed Denial of Service (DDoS) attacks is one of the most important tasks to ensure service availability. In this paper we present a software system, which implements some of the available methods to detect DDoS attacks and creates firewall rules to stop the traffic from the hosts suspected to be participating in the attack. Implemented methods include Change Point Approach, Covariance model and Passive Measurement based Heuristics. The system enables to analyze characteristics of implemented DDoS identification methods and evaluate their efficiency in different conditions.
引用
收藏
页码：183 / 188
页数：6
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