A Lightweight Residual Networks Framework for DDoS Attack Classification Based on Federated Learning-Reference-Cited by-同舟云学术

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A Lightweight Residual Networks Framework for DDoS Attack Classification Based on Federated Learning

Published:2021-05-10 Issue: Volume: Page:
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Container-title:IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Tian Qin,Guang Cheng,Wenchao Chen,Si Wu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9484327/9484428/09484622.pdf?arnumber=9484622

Cited by 21 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

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2. Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse;IEEE Internet of Things Journal;2024-05-15

3. Privacy-Preserving Detection of DDoS Attacks in IoT Using Federated Learning Techniques;2024 IEEE International Conference on Big Data & Machine Learning (ICBDML);2024-02-24

4. FLAD: Adaptive Federated Learning for DDoS attack detection;Computers & Security;2024-02

5. Wearable Cardiorespiratory Sensor for Real-Time Monitoring With Smartphone Integration;IEEE Transactions on Instrumentation and Measurement;2024

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