An Adaptive Cross-Layer Security Framework for 6G Networks: Design, Implementation, and Performance Analysis
Manju Kumari1, Madhu Nimesh2, Lalit Rai3*
1,3Assistant Professor, Department of Electronics Engineering,
J. C. Bose University of Science and Technology, YMCA Faridabad, Haryana (INDIA)
2Indenedent Researcher
*Corresponding Author Email id : lalitmohanrai@gmail.com
Abstract - The advent of sixth-generation (6G) wireless networks introduces unprecedented capabilities integrated sensing and communication, native artificial intelligence, terahertz communications, and quantum computing threats that render existing security paradigms insufficient. This paper presents a comprehensive adaptive cross-layer security framework specifically designed for 6G's unique architecture and threat landscape. We identify critical research gaps through an extensive literature survey of recent works (2023-2024) in post-quantum cryptography, AI security, physical-layer protection, and integrated trust mechanisms. Our framework addresses four key objectives: (1) cross-layer security optimization across physical, network, and application layers; (2) hybrid quantum-resistant cryptographic schemes optimized for 6G's latency constraints; (3) AI-enhanced real-time threat detection with adversarial resilience; and (4) an integrated testbed for automated vulnerability assessment. We implement and validate this framework using MATLAB simulations, extending the 5G Toolbox for 6G scenarios. Results demonstrate that our adaptive approach reduces security-induced latency by 42% compared to static implementations while maintaining quantum resilience and detecting 96.3% of novel attack vectors. The proposed framework provides a practical pathway toward secure 6G deployments, balancing performance with robust protection against emerging threats.
Key Words: 6G security, cross-layer optimization, post-quantum cryptography, AI-native security, MATLAB simulation, adaptive security framework
