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 ORCID: 0000-0001-6288-3513 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 | 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 | 10 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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