User Behaviour Modelling Based DDoS Attack Detection

被引：0

作者：

Cepheli, Ozge ^{[1
]}

Buyukcorak, Saliba ^{[1
]}

Kurt, Gunes Karabulut ^{[1
]}

机构：

[1] Istanbul Tech Univ, Elekt & Haberlesme Muhendisligi Bolumu, Telsiz Arastirma Lab, Istanbul, Turkey

来源：

2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2014年

关键词：

DDoS; user modeling; expectation maximization; EM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Distributed Denial of Service (DDoS) attacks are one of the most important threads in network systems. Due to the distributed nature, DDoS attacks are very hard to detect, while they also have the destructive potential of classical denial of service attacks. In this study, a novel 2-step system is proposed for the detection of DDoS attacks. In the first step an anomaly detection is performed on the destination IP traffic. If an anomaly is detected on the network, the system proceeds into the second step where a decision on every user is made due to the behaviour models. Hence, it is possible to detect attacks in the network that diverges from users' behavior model.

引用

页码：2186 / 2189

页数：4

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