Combating cyber attacks in cloud computing using machine learning techniques.


Autoria(s): KHORSHED, TANZIM
Contribuinte(s)

Xiang Yang

Data(s)

01/03/2016

Resumo

An extensive investigative survey on Cloud Computing with the main focus on gaps that is slowing down Cloud adoption as well as reviewing the threat remediation challenges. Some experimentally supported thoughts on novel approaches to address some of the widely discussed cyber-attack types using machine learning techniques. The thoughts have been constructed in such a way so that Cloud customers can detect the cyber-attacks in their VM without much help from Cloud service provider

Identificador

http://hdl.handle.net/10536/DRO/DU:30089157

Idioma(s)

eng

Publicador

Deakin University, Faculty of Science, Engineering and Built Environment, School of Information Technology

Relação

http://dro.deakin.edu.au/eserv/DU:30089157/Khorshed-agreement-2016.pdf

http://dro.deakin.edu.au/eserv/DU:30089157/tanzim-combatingcyber-2016A.pdf

Direitos

The Author. All Rights Reserved

Palavras-Chave #Cloud computing #Computer networks #Computer hacking #Internet hosting services #Computer security
Tipo

Thesis