CyberPulse++: A machine learning based security framework for detecting link flooding attacks in software defined networks

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Rasool, Raihan Ur, Ahmed, Khandakar ORCID: 0000-0003-1043-2029, Anwar, Zahid ORCID: 0000-0002-4608-4305, Wang, Hua ORCID: 0000-0002-8465-0996, Ashraf, Usman and Rafique, Wajid (2021) CyberPulse++: A machine learning based security framework for detecting link flooding attacks in software defined networks. International Journal of Intelligent Systems. ISSN 0884-8173

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/42050
DOI https://doi.org/10.1002/int.22442
Official URL https://onlinelibrary.wiley.com/doi/abs/10.1002/in...
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 0805 Distributed Computing
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords stereotypical gender norms, masculine norms, health self-efficacy, positive mental health, health promotion network security, machine learning, Software Defined Network
Citations in Scopus 3 - View on Scopus
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