Security for the Metaverse: Blockchain and Machine Learning Techniques for Intrusion Detection
Author:
Affiliation:
1. INRS, University of Québec, Montréal, QC, Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/65/10680059/10385065.pdf?arnumber=10385065
Reference15 articles.
1. Blockchain Meets Metaverse and Digital Asset Management: A Comprehensive Survey
2. A Survey on Metaverse: Fundamentals, Security, and Privacy
3. A Secure Intrusion Detection Platform Using Blockchain and Radial Basis Function Neural Networks for Internet of Drones
4. Towards Blockchain-Based Collaborative Intrusion Detection Systems
5. CGAN-Based Collaborative Intrusion Detection for UAV Networks: A Blockchain-Empowered Distributed Federated Learning Approach
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2. Securing the Metaverse: A Deep Reinforcement Learning and Generative Adversarial Network Approach to Intrusion Detection;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
3. Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse;IEEE Internet of Things Journal;2024-05-15
4. ChOs_LSTM: Chebyshev Osprey Optimization-Based Model for Detecting Attacks;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03
5. Blockchain-Empowered Metaverse: Decentralized Crowdsourcing and Marketplace for Trading Machine Learning Data and Models;IEEE Access;2024
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