Cloud-Based DDoS HTTP Attack Detection Using Covariance Matrix Approach

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15973

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DC Field	Value	Language
dc.contributor.author	Aborujilah A., Musa, S.	-
dc.date.accessioned	2017-04-17T04:29:46Z	-
dc.date.available	2017-04-17T04:29:46Z	-
dc.date.issued	2017-04-17	-
dc.identifier.issn	2090-7141	-
dc.identifier.uri	http://ir.unikl.edu.my/jspui/handle/123456789/15973	-
dc.description.abstract	In this era of technology, cloud computing technology has become essential part of the IT services used the daily life. In this regard, website hosting services are gradually moving to the cloud. This adds new valued feature to the cloud-based websites and at the same time introduces new threats for such services. DDoS attack is one such serious threat. Covariance matrix approach is used in this article to detect such attacks. The results were encouraging, according to confusion matrix and ROC descriptors. © 2017 Abdulaziz Aborujilah and Shahrulniza Musa.	en_US
dc.subject	double stator	en_US
dc.subject	slotted rotor	en_US
dc.subject	efficiency	en_US
dc.subject	stand-alone generation	en_US
dc.title	Cloud-Based DDoS HTTP Attack Detection Using Covariance Matrix Approach	en_US
Appears in Collections:	Journal Articles

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