Collaborative Intrusion Detection System for SDVN: A Fairness Federated Deep Learning Approach-Reference-Cited by-同舟云学术

Collaborative Intrusion Detection System for SDVN: A Fairness Federated Deep Learning Approach

Published:2023-09 Issue:9 Volume:34 Page:2512-2528
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Cui Jie¹^ORCID,Sun Hu¹^ORCID,Zhong Hong¹^ORCID,Zhang Jing¹^ORCID,Wei Lu¹^ORCID,Bolodurina Irina²^ORCID,He Debiao³^ORCID

Affiliation:

1. Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China

2. Faculty of Mathematics and Information Technologies, Orenburg State University, Orenburg, Russia

3. School of Cyber Science and Engineering, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Excellent Youth Foundation of Anhui Scientific Committee

Natural Science Foundation of Anhui Province, China

University Synergy Innovation Program of Anhui Province

Foundation of Anhui Educational Committee

Open Fund of Key Laboratory of Embedded System and Service Computing

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/10180399/10177377.pdf?arnumber=10177377

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4. “Why Should I Trust Your IDS?”: An Explainable Deep Learning Framework for Intrusion Detection Systems in Internet of Things Networks

5. SDN-Enabled Multi-Attribute-Based Secure Communication for Smart Grid in IIoT Environment

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