Author/Authors :
Huan, Ma School of Computer and Communication Engineering - University of Science and Technology Beijing , Ding, Hao School of Computer and Communication Engineering - University of Science and Technology Beijing , Tang, Yang School of Computer and Communication Engineering - University of Science and Technology Beijing , Yang, James Yifei Department of Electronics and Communication Engineering - University of Illinois at Urbana Champaign , Xiong, Zenggang School of Computer and Information Science - Hubei Engineering University
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.
Keywords :
software-defined network , ARP attack detection , Bayes , cloud computing
