Detecting flooding based DoS attack in cloud computing environment using covariance matrix approach

Authors:
Mohd Nazri Ismail;Abdulaziz Aborujilah;Shahrulniza Musa;AAmir Shahzad
Affiliations:
Malaysian Institute of Information Technology (MIIT), University Kuala Lumpur, Malaysia;Malaysian Institute of Information Technology (MIIT), University Kuala Lumpur, Malaysia;Malaysian Institute of Information Technology (MIIT), University Kuala Lumpur, Malaysia;Malaysian Institute of Information Technology (MIIT), University Kuala Lumpur, Malaysia
Venue:
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Year:
2013

Citing 4
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Abstract

The internet is gaining a lot of importance day by day, especially with the emergence of cloud technology. This new technology has made a new computing service to end users that include, PaaS, SaaS. On the other hand, this technology was accompanied with some shortages. The most serious obstacle is the security challenges because of the cloud is characterized by computing resource sharing and multi-tenancy features and as a result flooding based denial of service attack has been observed. This effect on performance and quality of service on cloud. To overcome this security challenge, there are several methods to detect and prevent this kind of attack. Most of these approaches are using statistical and/or artificial intelligence methods. In this research paper a new model to detect flooding based DoS attack in cloud environment has been suggested consisting three phases. (1) The first-phase is to model the normal traffic pattern for baseline profiling and (2) the second phase is the intrusion detection processes and (3) finally prevention phase. The covariance Matrix mathematical model is used as detecting method. The phase (1) and (2) have been implemented in real test bed. From the result, it is proven that we can detect the flooding attack effectively.