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
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