On Capturing DDoS Traffic Footprints on the Internet

Author:

Shi Lumin1,Li Jun2,Zhang Mingwei3,Reiher Peter4

Affiliation:

1. Computer and Information Science, University of Oregon, 3265 Eugene, Oregon, United States, (e-mail: luminshi@cs.uoregon.edu)

2. Computer and Information Science, University of Oregon, 3265 Eugene, Oregon, United States, 97403-1200 (e-mail: lijun@cs.uoregon.edu)

3. Computer and Information Science, University of Oregon, 3265 Eugene, Oregon, United States, 97403-1299 (e-mail: mingwei@cs.uoregon.edu)

4. Computer Science, UCLA, 8783 Los Angeles, California, United States, (e-mail: reiher@cs.ucla.edu)

Funder

Science and Technology Directorate

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 5 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. MFGD3QN: Enhancing Edge Intelligence Defense Against DDoS With Mean-Field Games and Dueling Double Deep Q-Network;IEEE Internet of Things Journal;2024-07-01

2. Toward Adaptive DDoS-Filtering Rule Generation;2023 IEEE Conference on Communications and Network Security (CNS);2023-10-02

3. DDoS attacks and machine‐learning‐based detection methods: A survey and taxonomy;Engineering Reports;2023-05-30

4. A survey on DoS/DDoS attacks mathematical modelling for traditional, SDN and virtual networks;Engineering Science and Technology, an International Journal;2022-07

5. Computation Rate Maximization for IRS-Aided Wireless Powered MEC Systems;2022 IEEE Wireless Communications and Networking Conference (WCNC);2022-04-10

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