
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.
Publisher
Tsinghua University Press
Recommended Citation
Huan Ma, Hao Ding, Yang Yang et al. Bayes-Based ARP Attack Detection Algorithm for Cloud Centers. Tsinghua Science and Technology 2016, 21(1): 17-28.