Improvement of this project:
To design a high-throughput and lightweight True Random Number Generator (TRNG) using a Dynamic Galois LFSR architecture.
To enhance randomness quality by introducing dynamically controlled feedback paths within each LFSR stage.
To integrate ring oscillator-based entropy sources with Galois LFSR logic for increased unpredictability.
To replace traditional Fibonacci LFSRs with dynamically reconfigurable Galois stages in a hybrid TRNG architecture.
To compare the performance of the proposed method with the existing MSRO-LFSR in terms of throughput, entropy, and hardware efficiency.
To ensure robustness of the TRNG under varying temperature and voltage conditions for reliable operation in practical systems.
To enable secure and energy-efficient random number generation suitable for FPGA, IoT, and embedded cryptographic applications.
Software Implementation:
- Modelsim
- Xilinx
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A High Throughput True Random Number Generator using Dynamic Galois LFSR for Enhanced Entropy and Lightweight Security
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