CoWatch: Collaborative Prediction of DDoS Attacks in Edge Computing with Distributed SDN-Reference-Cited by-同舟云学术

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CoWatch: Collaborative Prediction of DDoS Attacks in Edge Computing with Distributed SDN

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Global Communications Conference (GLOBECOM)
language:
Short-container-title:

Author:

Zhou Hongliang¹,Jia Xiaohua²,Shu Jiangang³,Zhou Lei¹

Affiliation:

1. School of Computer Science and Technology, Harbin Institute of Technology,Shenzhen,China

2. City University of Hong Kong,Department of Computer Science,Hong Kong SAR,China

3. Cyberspace Security Research Center, Peng Cheng Laboratory,Shenzhen,China

Funder

Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685281.pdf?arnumber=9685281

Reference20 articles.

1. A Long Short-Term Memory Enabled Frame-work for DDoS Detection;liang;Proc of GLOBECOM,0

2. Collaborative Anomaly Detection in Distributed SDN

3. SDN Based Collaborative Scheme for Mitigation of DDoS Attacks

4. A New Machine Learning-based Collaborative DDoS Mitigation Mechanism in SDN;mohammed;Proc of WiMob,0

5. An SDN-supported collaborative approach for DDoS flooding detection and containment

Cited by 2 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. Multi-domain collaborative two-level DDoS detection via hybrid deep learning;Computer Networks;2024-04

2. Collaborative prediction and detection of DDoS attacks in edge computing: A deep learning-based approach with distributed SDN;Computer Networks;2023-04

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