Fuzzy Logic-Driven Approaches to Enhancing Hardware Security in IoT Devices
Rahib Imamguluyev · 2024
The rapid growth of Internet of Things (IoT) devices has revolutionized various industries but has simultaneously amplified vulnerabilities in hardware security. This paper proposes a fuzzy logic-driven approach to enhance hardware security in IoT devices by addressing critical challenges such as tampering, side-channel attacks, and unauthorized access. The methodology defines key input parameters, including power consumption, temperature variations, and authentication anomalies, while producing adaptive output variables such as security breach likelihood and response intensity. By leveraging the uncertainty-handling capabilities of fuzzy logic, the framework dynamically assesses threats and applies real-time responses to improve security without compromising device performance. The proposed system offers significant improvements in detection accuracy, reduces false positives, and ensures computational efficiency, making it suitable for resource-constrained IoT environments. Validation through simulations highlights the system's ability to balance security and performance, providing a scalable and reliable solution for safeguarding IoT ecosystems.