6G-Enabled Internet of Things-Artificial Intelligence-Based Digital Twins

Abstract

The convergence of sixth-generation (6G) wireless networks, internet of things (IoT), and artificial intelligence (AI) has changed the way for the development of 6G-enabled IoT-AI based digital twins. These digital twins, virtual representations of physical objects or systems, offer enhanced capabilities for real-time monitoring, optimization, and control. However, as these systems become more interconnected and critical to various domains, cybersecurity and resilience become important issues. This work explores the cyber-security challenges and resilience requirements associated with 6G-enabled IoT-AI based digital twins. It examines potential vulnerabilities, threats, and attacks that could compromise the integrity, confidentiality, and availability of digital twin ecosystems. Moreover, it discusses the measures and strategies that can be employed to ensure cybersecurity and resilience, including secure design principles, authentication and access control mechanisms, anomaly detection, data encryption, and secure communication protocols.