BDF-SDN: A Big Data Framework for DDoS Attack Detection in Large-Scale SDN-Based Cloud
Author:
Affiliation:
1. Materials, and Chemistry Convergence Technology, Soongsil University,Department of Information Communication,Seoul,South Korea,06978
2. School of Electronic Engineering, Soongsil University,Seoul,South Korea,06978
Funder
National Research Foundation of Korea(NRF)
Institute for Information & communications Technology Promotion(IITP)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9346211/9346228/09346269.pdf?arnumber=9346269
Cited by 10 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. A Collaborative Approach to Detecting DDoS Attacks in SDN Using Entropy and Deep Learning;Journal of Telecommunications and Information Technology;2024-09-13
2. DDoS attacks & defense mechanisms in SDN-enabled cloud: Taxonomy, review and research challenges;Computer Science Review;2024-08
3. 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
4. Streaming traffic classification: a hybrid deep learning and big data approach;Cluster Computing;2024-01-18
5. Cyber Attack Victim Separation: New Dimensions to Minimize Attack Effects by Resource Management;Studies in Big Data;2024
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