USAGE : Uncertain flow graph and spatio-temporal graph convolutional network-based saturation attack detection method-Reference-Cited by-同舟云学术

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USAGE : Uncertain flow graph and spatio-temporal graph convolutional network-based saturation attack detection method

Published:2023-10 Issue: Volume:219 Page:103722
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Wang Kaixi,Cui Yunhe,Qian Qing,Chen Yi,Guo Chun,Shen Guowei

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference35 articles.

1. A low-rate DDoS detection and mitigation for SDN using Renyi entropy with packet drop;Ahalawat;J. Inf. Secur. Appl.,2022

2. Anon,, 0000. Software-defined networking: The New norm for networks, https://www.opennetworking.org/images/stories/downloads/sdn-resources/white-papers/wp-sdn-newnormpdf.

3. A GRU deep learning system against attacks in software defined networks;Assis;J. Netw. Comput. Appl.,2021

4. Convolutional sequence modeling revisited;Bai,2018

5. Detecting and mitigating ddos attacks in SDN using spatial–temporal graph convolutional network;Cao;IEEE Trans. Dependable Secure Comput.,2021

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. Anomaly and intrusion detection using deep learning for software-defined networks: A survey;Expert Systems with Applications;2024-12

2. ERT-EDR: Online defense framework for TCP-targeted LDoS attacks in SDN;Expert Systems with Applications;2024-11

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