Mitigating DDoS Attack using Machine Learning Approach in SDN-Reference-Cited by-同舟云学术

Mitigating DDoS Attack using Machine Learning Approach in SDN

Published:2022-12-16 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
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Author:

Raj Ritu¹,Singh Kang Sandeep¹

Affiliation:

1. Chandigarh University,Department of Computer Science,Mohali,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073967/10073974/10074307.pdf?arnumber=10074307

Reference21 articles.

1. Fuzzy rough set feature selection to en-hance phishing attack detection;zabihimayvan;2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE),2019

2. Social Engineering and the Dangers of Phishing

3. Network Traffic Classification Method Based on Improved Capsule Neural Network

4. Heuristic Phishing Detection and URL Checking Methodology Based on Scraping and Web Crawling

5. DDOS attack SDN Dataset;ahuja;Mendeley Data,2020

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3. SDN Controllers and ML-Based Anomaly Detection in Embedded Systems: A Comparative Analysis;2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM);2023-10-26

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