Authors: Yagmur Yigit, Ioannis Panitsas, Leandros Maglaras, Leandros Tassiulas, Berk Canberk

Published on: January 25, 2024

Impact Score: 8.6

Arxiv code: Arxiv:2401.14005

Summary

• What is new: Introduction of a cyber-twin framework that synergizes digital twin technology with AI to bolster the security of Roadside Units (RSUs) in VANETs while promoting environmental sustainability.
• Why this is important: The dynamic complexity of Vehicular Ad-hoc Networks (VANETs) makes them prone to cyberattacks, significantly compromising road safety and vehicular communication.
• What the research proposes: A novel cyber-twin framework that employs digital twin technology combined with AI for real-time, dynamic representation of RSUs to enhance their security and sustainability.
• Results: Marked improvement in resource management and threat detection, achieving a substantial reduction in RSU load and an optimal balance in resource use and attack detection efficiency.

Technical Details

Technological frameworks used: Cyber-twin

Models used: Artificial Intelligence

Data used: nan

Potential Impact

Automotive, cybersecurity firms, and smart city infrastructure providers could benefit from this research, while traditional vehicular communication security solutions might face disruption.

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