Bayes-Based ARP Attack Detection Algorithm for Cloud Centers

被引:0
|
作者
Ma, Huan [1 ]
Ding, Hao [1 ]
Yang, Yang [1 ]
Mi, Zhenqiang [1 ]
Yang, James Yifei [2 ]
Xiong, Zenggang [3 ]
机构
[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
[2] Univ Illinois, Dept Elect & Commun Engn, Champaign, IL 61801 USA
[3] Hubei Engn Univ, Sch Comp & Informat Sci, Xiaogan 432000, Peoples R China
基金
中国国家自然科学基金;
关键词
cloud computing; Bayes; ARP attack detection; software-defined network;
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
To address the issue of internal network security, Software-Defined Network (SDN) technology has been introduced to large-scale cloud centers because it not only improves network performance but also deals with network attacks. To prevent man-in-the-middle and denial of service attacks caused by an address resolution protocol bug in an SDN-based cloud center, this study proposed a Bayes-based algorithm to calculate the probability of a host being an attacker and further presented a detection model based on the algorithm. Experiments were conducted to validate this method.
引用
收藏
页码:17 / 28
页数:12
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