An efficient DDoS TCP flood Attack detection and prevention system in a cloud environment
Article
Article Title | An efficient DDoS TCP flood Attack detection and |
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ERA Journal ID | 210567 |
Article Category | Article |
Authors | Sahi, Aqeel (Author), Lai, David (Author), Li, Yan (Author) and Diykh, Mohammed (Author) |
Journal Title | IEEE Access |
Journal Citation | 5, pp. 6036-6048 |
Number of Pages | 13 |
Year | 2017 |
Publisher | IEEE |
Place of Publication | United States |
ISSN | 2169-3536 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ACCESS.2017.2688460 |
Web Address (URL) | http://ieeexplore.ieee.org/document/7893798/ |
Abstract | Although the number of cloud projects has dramatically increased over the last few years, |
Keywords | Classi�cation, cloud computing, DDoS attacks, LS-SVM. |
ANZSRC Field of Research 2020 | 460609. Networking and communications |
Public Notes | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q44wv/an-efficient-ddos-tcp-flood-attack-detection-and-prevention-system-in-a-cloud-environment
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