DLSDN: Deep Learning for DDOS attack detection in Software Defined Networking-Reference-Cited by-同舟云学术

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DLSDN: Deep Learning for DDOS attack detection in Software Defined Networking

Published:2021-01-28 Issue: Volume: Page:
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Container-title:2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
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Author:

Ahuja Nisha,Singal Gaurav,Mukhopadhyay Debajyoti

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9377009/9376876/09376879.pdf?arnumber=9376879

Cited by 43 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. Advancing Network Security in Industrial IoT: A Deep Dive into AI-Enabled Intrusion Detection Systems;Advanced Engineering Informatics;2024-10

2. A Collaborative Approach to Detecting DDoS Attacks in SDN Using Entropy and Deep Learning;Journal of Telecommunications and Information Technology;2024-09-13

3. Enhancing Software-Defined Networks (SDN) Environment to Detect DDoS Attack Using KNN Classifier Algorithm;2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2024-07-04

4. Feature-Selection-Based DDoS Attack Detection Using AI Algorithms;Telecom;2024-04-17

5. DDoS Attack Detection and Mitigation in SDN Environment: A Deep Learning Perspective;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

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