RAVA: an Open Hardware True Random Number Generator based on Avalanche Noise
RAVA is an open-source True Random Number Generator (TRNG) designed to offer a transparent and customizable platform, making auditalbe and high-quality entropy accessible to a wider audience. The RAVA device's main characteristics are: - High-quality entropy: Producing unbiased and independent random bits without a post-processing algorithm. - Differential design: Aiming towards immunity to environmental conditions by comparing two similar and independent noise sources. - Dual entropy core: Incorporating two parallel and independent entropy channels that simultaneously produce random bytes. The dual design provides redundancy, a double output rate, or a unique feature for experiments employing a condition/control design. - Full transparency: As an open-source project providing complete access to the circuit design, firmware, and user-side software, including drivers, libraries, and utilities. At the hardware level, monitoring headers allow real-time inspection of voltages and noise sources during operation. - Customizability: Offering interface headers for integration with other circuits, sensors, and integrated circuit (IC) components. Users have full control over the device's operation by sending commands through a communication interface. Moreover, as an open-source project, the firmware can be updated to modify the circuit's behavior and implement new functionalities. - Accessibility: As a discrete circuit employing low-cost IC components and SMD resistors and capacitors of size 0805. Ensuring that the device remains affordable and can be assembled by users through manual soldering of the components to the printed circuit board. Publication https://github.com/gabrielguerrer/rng_rava#publication For a comprehensive overview, encompassing an in-depth exploration of the noise source, a stochastic model, and statistical tests, please consult the article - [IEEE Access, DOI: 10.1109/ACCESS.2023.3327325](https://ieeexplore.ieee.org/document/10295491) - https://github.com/gabrielguerrer/rng_rava
