SnortFlow: A OpenFlow-based Intrusion Prevention System in Cloud Environment

被引:73
|
作者
Xing, Tianyi [1 ]
Huang, Dijiang [1 ]
Xu, Le [1 ]
Chung, Chun-Jen [1 ]
Khatkar, Pankaj [1 ]
机构
[1] Arizona State Univ, Tempe, AZ 85287 USA
关键词
D O I
10.1109/GREE.2013.25
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Security has been one of the top concerns in clouds. It is challenging to construct a secure networking environment in clouds because the cloud is usually a hybrid networking system containing both physical and virtually overlaid networks. Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) have been widely deployed to manipulate cloud security, with the latter providing additional prevention capabilities. This paper investigates into an OpenFlow and Snort based IPS called "SnortFlow", in which it enables the cloud system to detect intrusions and deploy countermeasures by reconfiguring the cloud networking system on-the-fly. The evaluation results demonstrate the feasibility of SnortFlow and provide the guidance for the future work.
引用
收藏
页码:89 / 92
页数:4
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