Sensor-Based True Random Number Generator: A Hybrid Approach for Enhanced Security and Unpredictability

This paper presents a novel Sensor-Based True Random Number Generator (TRNG) that combines sensor data with the Mersenne Twister Pseudo-Random Number Generator (PRNG) for enhanced security and unpredictability. The hybrid system leverages environmental entropy, such as temperature, pressure, and light, to seed the PRNG, addressing both speed and unpredictability challenges. The approach ensures the generation of high-quality random numbers suitable for cryptographic applications, with rigorous statistical validation confirming the system's effectiveness.