@article{Ma2016, 
author = {Huan Ma and Hao Ding and Yang Yang and Zhenqiang Mi and James Yifei Yang and Zenggang Xiong},
title = {Bayes-Based ARP Attack Detection Algorithm for Cloud Centers},
year = {2016},
journal = {Tsinghua Science and Technology},
volume = {21},
number = {1},
pages = {17-28},
keywords = {cloud computing, Bayes, ARP attack detection, software-defined network},
url = {https://www.sciopen.com/article/10.1109/TST.2016.7399280},
doi = {10.1109/TST.2016.7399280},
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.}
}