DocumentCode :
710209
Title :
Analysis of DDoS Attacks and an Introduction of a Hybrid Statistical Model to Detect DDoS Attacks on Cloud Computing Environment
Author :
Girma, Anteneh ; Garuba, Moses ; Jiang Li ; Chunmei Liu
fYear :
2015
fDate :
13-15 April 2015
Firstpage :
212
Lastpage :
217
Abstract :
Cloud service availability has been one of the major concerns of cloud service providers (CSP), while hosting different cloud based information technology services by managing different resources on the internet. The vulnerability of internet, the distribute nature of cloud computing, various security issues related to cloud computing service models, and cloud´s main attributes contribute to its susceptibility of security threats associated with cloud service availability. One of the major sophisticated threats that happen to be very difficult and challenging to counter due to its distributed nature and resulted in cloud service disruption is Distributed Denial of Service (DDoS) attacks. Even though there are number of intrusion detection solutions proposed by different research groups, and cloud service providers (CSP) are currently using different detection solutions by promising that their product is well secured, there is no such a perfect solution that prevents the DDoS attack. The characteristics of DDoS attack, i.e., Having different appearance with different scenarios, make it difficult to detect. This paper will review and analyze different existing DDoS detecting techniques against different parameters, discusses their advantage and disadvantages, and propose a hybrid statistical model that could significantly mitigate these attacks and be a better alternative solution for current detection problems.
Keywords :
cloud computing; computer network security; statistical analysis; CSP; DDoS attack analysis; DDoS attack detection; Internet; cloud based information technology services; cloud computing environment; cloud computing service model; cloud main attributes; cloud service availability; cloud service disruption; cloud service providers; hybrid statistical model; intrusion detection solutions; security issues; Cloud computing; Computer crime; Covariance matrices; Entropy; Hidden Markov models; Servers; Cloud Security; Cloud Service Availability; Co-Variance Matrix; DDoS attacks; Entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology - New Generations (ITNG), 2015 12th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-8827-3
Type :
conf
DOI :
10.1109/ITNG.2015.40
Filename :
7113475
Link To Document :
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