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The HTTP Flooding Attack Detection to Secure and Safeguard Online Applications in the Cloud

The HTTP Flooding Attack Detection to Secure and Safeguard Online Applications in the Cloud

Dhanapal A, Nithyanandam P
Copyright: © 2019 |Volume: 10 |Issue: 3 |Pages: 18
ISSN: 1947-8186|EISSN: 1947-8194|EISBN13: 9781522566625|DOI: 10.4018/IJISMD.2019070103
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MLA

Dhanapal A, and Nithyanandam P. "The HTTP Flooding Attack Detection to Secure and Safeguard Online Applications in the Cloud." IJISMD vol.10, no.3 2019: pp.41-58. http://doi.org/10.4018/IJISMD.2019070103

APA

Dhanapal A & Nithyanandam P. (2019). The HTTP Flooding Attack Detection to Secure and Safeguard Online Applications in the Cloud. International Journal of Information System Modeling and Design (IJISMD), 10(3), 41-58. http://doi.org/10.4018/IJISMD.2019070103

Chicago

Dhanapal A, and Nithyanandam P. "The HTTP Flooding Attack Detection to Secure and Safeguard Online Applications in the Cloud," International Journal of Information System Modeling and Design (IJISMD) 10, no.3: 41-58. http://doi.org/10.4018/IJISMD.2019070103

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Abstract

Cloud computing is the cutting edge and has become inevitable in all forms of computing. This is due to its nature of elasticity, cost-effectiveness, availability, etc. The online applications like e-commerce, and e-healthcare applications are moving to the cloud to reduce their operational cost. These applications have the vulnerability of a HTTP flooding Distributed Denial of Service attack in the cloud. This flooding attack aims to overload the application, making it unable to process genuine requests and bring it down. So, these applications need to be secured and safeguarded against such attacks. This HTTP flooding attack is one of the key challenging issues as it shows normal behaviour with regard to all lower networking layers like TCP 3-way handshaking by mimicking genuine requests and it is even harder in the cloud due to the cloud properties. This article offers a solution for detecting a HTTP flooding attack in the cloud by using the novel TriZonal Linear Prediction (TLP) model. The solution was implemented using OpenStack and the FIFA Worldcup '98 data set for experimentation.

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