Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks

Author:

Yigit Yagmur1,Chrysoulas Christos1,Yurdakul Gokhan2,Maglaras Leandros1,Canberk Berk1

Affiliation:

1. School of Computing, Engineering and The Build Environment, Edinburgh Napier University,United Kingdom

2. BTS Group,Turkey

Publisher

IEEE

Cited by 6 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. Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities;IEEE Communications Standards Magazine;2024-09

2. LLM-Twin: mini-giant model-driven beyond 5G digital twin networking framework with semantic secure communication and computation;Scientific Reports;2024-08-17

3. Advancing XSS Detection in IoT over 5G: A Cutting-Edge Artificial Neural Network Approach;IoT;2024-07-25

4. Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioral Strategies and Digital Twins;2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM);2024-06-04

5. PULRAS: A Novel PUF-based Lightweight Robust Authentication Scheme;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

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