CyberPulse++: A machine learning‐based security framework for detecting link flooding attacks in software defined networks-Reference-Cited by-同舟云学术

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

Author:

Rasool Raihan ur¹,Ahmed Khandakar¹,Anwar Zahid²³,Wang Hua¹,Ashraf Usman⁴,Rafique Wajid⁵

Affiliation:

1. Institute for Sustainable Industries & Liveable Cities VU Research, Victoria University, Melbourne Victoria Australia

2. School of Electrical Engineering and Computer Science National University of Sciences and Technology Islamabad Pakistan

3. Department of Computer Science North Dakota State University Fargo North Dakota USA

4. School of Business Torrens University Sydney, NSW Australia

5. Montreal Blockchain Laboratory, Department of Computer Science and Operational Research University of Montreal Montreal Canada

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

Reference50 articles.

2. KangMS LeeSB GligorVD. The crossfire attack. InProceedings of the IEEE Symposium on Security and Privacy (SP);2013:127‐141.

5. Detecting and mitigating target link flooding attacks using SDN;Wang J;IEEE Trans Dependable Secure Comput,2018

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