DocumentCode :
56357
Title :
Can We Beat DDoS Attacks in Clouds?
Author :
Shui Yu ; Yonghong Tian ; Song Guo ; Wu, Dapeng Oliver
Author_Institution :
Sch. of IT, Deakin Univ., Geelong, VIC, Australia
Volume :
25
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
2245
Lastpage :
2254
Abstract :
Cloud is becoming a dominant computing platform. Naturally, a question that arises is whether we can beat notorious DDoS attacks in a cloud environment. Researchers have demonstrated that the essential issue of DDoS attack and defense is resource competition between defenders and attackers. A cloud usually possesses profound resources and has full control and dynamic allocation capability of its resources. Therefore, cloud offers us the potential to overcome DDoS attacks. However, individual cloud hosted servers are still vulnerable to DDoS attacks if they still run in the traditional way. In this paper, we propose a dynamic resource allocation strategy to counter DDoS attacks against individual cloud customers. When a DDoS attack occurs, we employ the idle resources of the cloud to clone sufficient intrusion prevention servers for the victim in order to quickly filter out attack packets and guarantee the quality of the service for benign users simultaneously. We establish a mathematical model to approximate the needs of our resource investment based on queueing theory. Through careful system analysis and real-world data set experiments, we conclude that we can defeat DDoS attacks in a cloud environment.
Keywords :
cloud computing; queueing theory; resource allocation; security of data; DDoS attacks; cloud computing; cloud customers; cloud hosted servers; distributed denial-of-service attacks; dynamic resource allocation strategy; intrusion prevention; quality of service; queueing theory; resource competition; resource investment; Analytical models; Cloud computing; Computer crime; Mathematical model; Quality of service; Queueing analysis; Servers; Cloud computing; DDoS attacks; mitigation; resource investment; system modelling;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/TPDS.2013.181
Filename :
6567859
Link To Document :
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