Blockchain and AI for Collaborative Intrusion Detection in 6G-enabled IoT Networks-Reference-Cited by-同舟云学术

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Blockchain and AI for Collaborative Intrusion Detection in 6G-enabled IoT Networks

Published:2024-07-22 Issue: Volume: Page:179-184
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Container-title:2024 IEEE 25th International Conference on High Performance Switching and Routing (HPSR)
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Author:

Chelghoum Massinissa¹,Bendiab Gueltoum²,Labiod Mohamed Aymen³,Benmohammed Mohamed¹,Shiaeles Stavros⁴,Mellouk Abdelhamid⁴

Affiliation:

1. University of Constantine 2-Abdelhamid Mehri, Ali Mendjeli Campus,LIRE Laboratory,Constantine,Algeria,25000

2. University of Frères Mentouri,LIRE Laboratory,Department of Electronics,Constantine,Algeria,25000

3. University of Paris-Est Creteil LISSI TincNET (CIR),Vitry-sur-Seine,France,F-94400

4. University of Portsmouth,Centre for Cybercrime and Economic Crime,Portsmouth,UK,PO1 2UP

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635098/10635910/10635989.pdf?arnumber=10635989

Reference35 articles.

1. Toward the 6G Network Era: Opportunities and Challenges

2. Security and privacy in 6G networks: New areas and new challenges

3. Anomaly Detection in 6G Networks Using Machine Learning Methods

4. What should 6G be?

5. Connection density of 4 g, 5 g, and 6g mobile broadband technologies;Taylor

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