Identification of Best Machine Learning Algorithms for Detection of HTTP Botnet Attack

Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/18030

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DC Field	Value	Language
dc.contributor.author	Olalere, M	-
dc.contributor.author	Yisa, R. N.	-
dc.contributor.author	Ojeniyi, Joseph Adebayo	-
dc.contributor.author	Nwaocha, V. O.	-
dc.date.accessioned	2023-02-13T06:16:54Z	-
dc.date.available	2023-02-13T06:16:54Z	-
dc.date.issued	2020-05	-
dc.identifier.issn	2645-2960	-
dc.identifier.uri	http://repository.futminna.edu.ng:8080/jspui/handle/123456789/18030	-
dc.description.abstract	HTTP Botnet machine learning Classifiers Random Forest Botmaster	en_US
dc.language.iso	en	en_US
dc.publisher	International Journal of Information Processing and Communication	en_US
dc.relation.ispartofseries	Vol. 9 No. 1&2;	-
dc.subject	HTTP Botnet machine learning Classifiers Random Forest Botmaster	en_US
dc.title	Identification of Best Machine Learning Algorithms for Detection of HTTP Botnet Attack	en_US
dc.type	Article	en_US
Appears in Collections:	Cyber Security Science

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