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

来源：

TSINGHUA SCIENCE AND TECHNOLOGY | 2016年 / 21卷 / 01期

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

页码：17 / 28

页数：12

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