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Cyberpulse: A Machine Learning Based Link Flooding Attack Mitigation System for Software Defined Networks

Rasool, Raihan Ur, Ashraf, U, Ahmed, Khandakar ORCID: 0000-0003-1043-2029, Wang, Hua ORCID: 0000-0002-8465-0996, Rafique, W and Anwar, Z (2019) Cyberpulse: A Machine Learning Based Link Flooding Attack Mitigation System for Software Defined Networks. IEEE Access, 7. pp. 34885-34899. ISSN 2169-3536

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(c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works

Uncontrolled Keywords: software-defined networking; control channel; network security; network surveillance; flood detection
Subjects: FOR Classification > 0805 Distributed Computing
Faculty/School/Research Centre/Department > Centre for Applied Informatics
Faculty/School/Research Centre/Department > Institute for Sustainable Industries and Liveable Cities
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 07 Apr 2019 22:56
Last Modified: 14 Jun 2019 03:31
URI: http://vuir.vu.edu.au/id/eprint/38253
DOI: https://doi.org/10.1109/access.2019.2904236
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Citations in Scopus: 0 - View on Scopus

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