SFDEM: A Single Flow Detection Enabled Method for DDoS Attacks in IoT with Feature Mapping-Reference-Cited by-同舟云学术

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SFDEM: A Single Flow Detection Enabled Method for DDoS Attacks in IoT with Feature Mapping

Published:2023-10-16 Issue: Volume: Page:182-189
ISSN:
Container-title:2023 International Conference on Data Security and Privacy Protection (DSPP)
language:
Short-container-title:

Author:

Xie Lixia¹,Yuan Bingdi¹,Yang Hongyu²,Zhang Liang³

Affiliation:

1. Civil Aviation University of China,School of Computer Science and Technology,Tianjin,China

2. Civil Aviation University of China,School of Safety Science and Engineering, School of Computer Science and Technology,Tianjin,China

3. The University of Arizona,School of Information,Tucson,USA

Funder

National Natural Science Foundation of China

Tianjin Municipal Education Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404093/10404178/10405274.pdf?arnumber=10405274

Reference22 articles.

1. Learning-Driven Detection and Mitigation of DDoS Attack in IoT via SDN-Cloud Architecture

2. A giant botnet hid around us,2021

3. Ddos attack report for q3 2022,2022

4. Machine Learning DDoS Detection for Consumer Internet of Things Devices

5. Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks

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