A Compressive Study on Detection Accuracy Model for DoS Attack in SDN Using Ensemble Learning Techniques-Reference-Cited by-同舟云学术

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A Compressive Study on Detection Accuracy Model for DoS Attack in SDN Using Ensemble Learning Techniques

Published:2023-11-23 Issue: Volume:8 Page:1-6
ISSN:
Container-title:2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS)
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Author:

Pusarla Sindhu¹,Ghugar Umashankar²,Özseven Turgut³,Dewangan Bhupesh Kumar²,Choudhury Tanupriya⁴,Patni Jagdish Chandra⁵

Affiliation:

1. GITAM (Deemed to be University),GITAM School of Technology,Department of Computer Science Engineering,Visakhapatnam,India,530045

2. OP Jindal University,Department of Computer Science and Engineering,Raigarh,Chhattisgarh,India

3. Tokat Gaziosmanpaşa University,Department of Computer Engineering,Tokat,Turkeye

4. Symbiosis Institute of Technology, Symbiosis International (Deemed University),CSE Dept.,Pune,India

5. Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University),Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391284/10391096/10391345.pdf?arnumber=10391345

Reference24 articles.

1. A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks

2. SDN-Guard: DoS Attacks Mitigation in SDN Networks

3. Denial-of-service attacks in OpenFlow SDN networks

4. DoSGuard: Mitigating Denial-of-Service Attacks in Software-Defined Networks

5. Improving network management with software defined networking

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