Design and Implementation of a 5G Security Testbed for AI Solution Validation
Mahnsuk Yoon, Jaeuk Kwon, Jihun Seo, Kyucheol Cho · 2024
The growing adoption of 5G private networks has significantly enhanced industries such as smart factories, autonomous vehicles, and smart homes, thanks to their high-speed data transmission, low latency, and support for large-scale device connectivity. These networks have driven advancements in real-time monitoring and process automation, boosting productivity and efficiency while reducing costs. However, the deployment of 5G private networks has also introduced various security challenges, particularly with the emergence of AI-driven technologies. This paper discusses these challenges, focusing on the design and implementation of a 5G security testbed to validate AI solutions within such environments. Key security threats associated with 5G private networks include the exploitation of AI and generative AI for sophisticated phishing and spoofing attacks, the hacking of autonomous vehicles and smart homes that can compromise both safety and privacy, and security breaches in AI-based smart factory systems, which could lead to operational disruptions and economic losses. These risks emphasize the need for proactive countermeasures to ensure the integrity and security of 5G private networks. This paper verifies the security of AI-based applications implemented through a testbed using Nokia's 5G network system and provides the necessary configurations for the stable deployment of AI-based service solutions.