Cloud Computing Intrusion Detection Using Artificial Bee Colony-BP Network Algorithm-

TitleCloud Computing Intrusion Detection Using Artificial Bee Colony-BP Network Algorithm-
Publication TypeJournal Article
Year of Publication2018
AuthorsHui, Y
JournalJournal of Digital Information Management
Volume16
Issue4
Start Page203
Pagination203-209
Date Published08/2018
Type of ArticleResearch
Abstract

 Cloud computing characterizes a methodology for computing communications in a much effective manner, and a business paradigm for trading computing resources and services. Alternatively, these difficult and distributed planning’s turn a striking objective for intruders. Cloud computing provides huge latent for enhancing production and decrease expenditures. However it simultaneously acquires several novel security risks. Intrusion Detection Systems (IDS) have been employed broadly for identifying malicious actions in network communication and hosts. In this work, an artificial bee colony-BP neural network algorithm is applied to the detection module, in order to detect the complicated aggressive behaviors. Through example verification, the artificial bee colony-BP network algorithm has improved intrusion detection efficiency and classification precision, and can effectively guarantee the safety of the cloud computing environment.

URLhttp://dline.info/fpaper/jdim/v16i4/jdimv16i4_5.pdf
DOI10.6025/jdim/2018/16/4/203-209

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Institute of Electronic and Information Technology (IEIT)

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