Comparative Analysis Of Intrusion Detection Systems in SDN-Reference-Cited by-同舟云学术

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Comparative Analysis Of Intrusion Detection Systems in SDN

Published:2023-01-24 Issue: Volume: Page:
ISSN:
Container-title:2023 Global Conference on Wireless and Optical Technologies (GCWOT)
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Author:

Shams Rehan¹,Suri Daniyal Omer²,Hanif Fozia³,Otero Pablo⁴

Affiliation:

1. Sir Syed University of Engineering & Technology,Department of Telecommunication Engineering,Karachi,Pakistan

2. Software Engineer DevOps Motive,Karachi,Pakistan

3. University of Karachi,Department of Mathematics,Pakistan

4. University of Malaga,Department of Telecommunication Engineering,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10064635/10064647/10064664.pdf?arnumber=10064664

Reference26 articles.

1. Combining OpenFlow and sFlow for an effective and scalable anomaly detection and mitigation mechanism on SDN environments

2. Cisco Visual Networking Index Predicts Near-Tripling of IP Traffic by 2020,2022

3. A Deep Learning Based DDoS Detection System in Software-Defined Networking (SDN);niyaz,2016

4. A SDN-oriented DDoS Blocking Scheme for Botnet-Network Ensemble Algorithm for Intrusion Detection in Sensor Networks;lim;SENSORS,2016

5. OpenFlow vulnerability assessment;kevin;Proceedings of the Second ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Study of the SNORT intrusion detection system based on machine learning;2023 7th IEEE Congress on Information Science and Technology (CiSt);2023-12-16

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