"Bayes-Based ARP Attack Detection Algorithm for Cloud Centers" by Huan Ma, Hao Ding et al.

Article Title

Bayes-Based ARP Attack Detection Algorithm for Cloud Centers

Authors

Huan Ma, the School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Hao Ding, the School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Yang Yang, the School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Zhenqiang Mi, the School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
James Yifei Yang, the Department of Electronics and Communication Engineering, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA.
Zenggang Xiong, the School of Computer and Information Science, Hubei Engineering University, Xiaogan 432000, China.

Keywords

cloud computing, Bayes, ARP attack detection, software-defined network

Abstract

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.