Evaluating Security Techniques in 5G MIMO-Based IoT Networks

The rapid expansion of Internet of Things (IoT) devices in various sectors, from healthcare to industrial automation, has heightened the need for secure and efficient communication networks. Multiple Input Multiple Output (MIMO) systems, integral to 5G networks, offer high throughput and low latency essential for real-time IoT applications. However, the integration of robust security mechanisms into MIMO systems often leads to increased latency, potentially undermining the performance of timesensitive IoT applications. This paper proposes a framework for enhancing the security of MIMO networks specifically designed for IoT environments while maintaining ultra-low latency. The study explores lightweight encryption techniques, physical layer security methods, and optimized beamforming strategies that collectively safeguard data integrity and confidentiality without compromising network performance. Through theoretical analysis and extensive simulations, this research demonstrates that it is possible to achieve a secure MIMO-based IoT network that balances both latency and security requirements.