A Detection and Mitigation Scheme of LDoS Attacks via SDN Based on the FSS-RSR Algorithm

Author:

Tang Dan1ORCID,Gao Chenjun1ORCID,Li Xinmeng1,Liang Wei2,Xiao Sheng1ORCID,Yang Qiuwei1ORCID

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

2. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China

Funder

National Key R&D Program of China

Hunan Hi-tech Industry Science and Technology Innovation Leading Plan

Major Science and Technology Projects of Changsha

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Cited by 4 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. Cyberattack defense mechanism using deep learning techniques in software-defined networks;International Journal of Information Security;2023-12-15

2. Exploring Low Rate Dos Attack Detection Methods: A Bibliometric Analysis and Roadmap for Further Research;2023 IEEE International Conference on Data and Software Engineering (ICoDSE);2023-09-07

3. Research on Wordle Development Based on Various Machine Learning;2023 International Conference on Computers, Information Processing and Advanced Education (CIPAE);2023-08-26

4. A Method for Detecting LDoS Attacks in SDWSN Based on Compressed Hilbert–Huang Transform and Convolutional Neural Networks;Sensors;2023-05-14

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