DocumentCode
3781790
Title
SDN-Based ARP Attack Detection for Cloud Centers
Author
Huan Ma;Hao Ding;Yang Yang;Zhenqiang Mi;Miao Zhang
Author_Institution
Sch. of Comput. &
fYear
2015
Firstpage
1049
Lastpage
1054
Abstract
To address the issue of internal network security, Software-Defined Network technology has been introduced to large-scale cloud centers, as it could not only improve network performance but also deal with network attacks. In order to prevent man-in-the-middle (MITM) and denial of service (DoS) attack caused by Address Resolution Protocol (ARP) bug in the cloud center, this paper proposed an algorithm using SDN technology to calculate the probability of a host being an attacker, and further give out a detect model based on the algorithm. Experiments prove the validity of this method.
Keywords
"Prediction algorithms","Bayes methods","Iterative methods","Protocols","Computer crime"
Publisher
ieee
Conference_Titel
Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015 IEEE 12th Intl Conf on
Type
conf
DOI
10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.195
Filename
7518374
Link To Document