System Security Framework for 5G Advanced /6G IoT Integrated Terrestrial Network-Non-Terrestrial Network (TN-NTN) with AI-Enabled Cloud Security

TL;DR

This paper proposes a comprehensive AI-enabled security framework for 5G/6G IoT-integrated terrestrial and non-terrestrial networks, addressing emerging security challenges through innovative cloud security and satellite integration.

Contribution

It introduces a novel security framework leveraging AI and satellite technology for 5G/6G IoT TN-NTN architectures, emphasizing zero-trust, federated learning, and resilience.

Findings

Enhanced threat detection via AI-native cloud platforms

Secure network segmentation and slicing strategies

Resilience against adversarial threats in integrated networks

Abstract

The integration of Terrestrial Networks (TN) and Non-Terrestrial Networks (NTN), including 5G Advanced/6G and the Internet of Things (IoT) technologies, using Low Earth Orbit (LEO) satellites, high-altitude platforms (HAPS), and Unmanned Aerial Vehicles (UAVs), is redefining the landscape of global connectivity. This paper introduces a new system-level security framework for 5G Advanced/6G IoT-integrated TN-NTN architectures with AI-native-enabled cloud security. Due to the heterogeneity, scale, and distributed nature of these networks, new security challenges have emerged. Leveraging AI-native cloud platforms offers powerful capabilities for real-time threat detection, security automation, and intelligent policy enforcement. The NTN satellite access function enhances security for discontinuous coverage via satellite connections. In addition, this paper explores the security risks associated with integrated 5G Advanced/6G IoT TN-NTN systems, including full network segmentation, network slicing, and the cloudification of the RAN and core. We present a comprehensive AI-enabled cloud security framework and conclude with proposals for implementing AI-powered, satellite-based NTN within future 5G Advanced/6G IoT networks. Our approach emphasizes zero-trust principles, federated learning, secure orchestration, a layered security framework, and resilience against adversarial threats.