System Security Framework for 5G Advanced /6G IoT Integrated Terrestrial Network-Non-Terrestrial Network (TN-NTN) with AI-Enabled Cloud Security
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908481914667008 |
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| author | Maric, Sasa Baidar, Rasil Abbas, Robert Reisenfeld, Sam |
| author_facet | Maric, Sasa Baidar, Rasil Abbas, Robert Reisenfeld, Sam |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_05707 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | System Security Framework for 5G Advanced /6G IoT Integrated Terrestrial Network-Non-Terrestrial Network (TN-NTN) with AI-Enabled Cloud Security Maric, Sasa Baidar, Rasil Abbas, Robert Reisenfeld, Sam Cryptography and Security 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. |
| title | System Security Framework for 5G Advanced /6G IoT Integrated Terrestrial Network-Non-Terrestrial Network (TN-NTN) with AI-Enabled Cloud Security |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2508.05707 |