PUBLICATION
A New Framework for Classification of Distributed Denial of Service (DDOS) Attack in Cloud Computing by Machine Learning Techniques
Type
Journal Article
Year
2014
Authors
Mostafa Behzadi
Ramlan Mahmod
Mehdi Barati
Azizol Bin Hj Abdullah
Research Area
Published in
Advanced Science Letters
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Abstract
The growing nature of cloud computing, increases the urgency of appropriate solution for its relevant threats. Security of cloud is the top challenge among all challenges that cloud computing deals with. Indeed, security issues of cloud have a reverse relation with cloud users' desires to move their assets to cloud environment. Distributed Denial of Service (DDOS) attack is one of the most popular attacks for security experts, which is easy to be carried out; however, it has some catastrophic effects. On the other hand, if a kind of attack like DDOS happens in cloud environment, cloud providers are not eager to share this information with their users due to loss of reputation. However, cloud users demand a mechanism to find out whether their assets are secure or not. To address the aforementioned problem, in this paper a new framework for classification of DDOS attack by utilization of machine learning techniques has been proposed. For this purpose, we will collect a dataset from the resources that are dedicated to user's virtual machine. This file will be delivered to a machine learning tool for future activities.
Reference
Behzadi, Mostafa; Mahmod, Ramlan; Barati, Mehdi; Abdullah, Azizol B. H.; Noura, Mahda: A New Framework for Classification of Distributed Denial of Service (DDOS) Attack in Cloud Computing by Machine Learning Techniques. Advanced Science Letters, pp. 175-178, 2014.
