Collaborative 'many to many' DDoS detection in cloud Online publication date: Mon, 26-Sep-2016
by Siqi Ma; David Lo; Ning Xi
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 23, No. 3/4, 2016
Abstract: Cloud computing provides a scalable and cost-effective environment for users to store and process data through the internet. However, it also causes distributed denial-of-service (DDoS) attacks. DDoS attacks risk systems outage and intend to disable the service to legitimate users. In this paper, due to the nature of its large-scale and coordinated attacks, we propose a collaborative prediction approach for detecting DDoS. Our approach provides a clean and direct solution to attack defense. The DDoS attacks follow certain patterns when employing a large number of compromised machines to request for service from the servers in the victim system. So we construct an attacker-server utility matrix by the number of packets and adopt matrix factorisation to detect potential attackers collaboratively. We derive the latent attacker vectors and latent server vectors to predict the unknown entries in the matrix. Experimental results on the NS-2 simulation networks demonstrate the superiority of our approach.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook