A new technique for generating random numbers using a CMOS image sensor

The researchers propose real random number generation (TRNG) using dark pixel values ​​of images received from the CMOS image sensor to provide password unpredictability.

Academic paper from Thamirabharani Engineering College, India.

“Random number generators (RNGs) have been used in several traditional fields such as simulation, games, cryptography, etc. Random numbers are used in cryptography to generate passwords. The strength of a password depends not only on its length and complexity, but above all on its unpredictability. Strong passwords reduce the overall risk of a security breach. Therefore, we propose real random number generation (TRNG) using images from a Complementary Metal Oxide Semiconductor (CMOS) image sensor to provide password unpredictability. The proposed system is based on the dark pixel values ​​of the image coming from the CMOS image sensor. Dark pixels are used to eliminate light requirements. Image fusion algorithm is used in this system to combine multiple image files into one image file. The process of combining multiple image files into a single image file increases unpredictability. The TRNG does not require any additional resources, such as a light source to provide true randomness. The images received from the CMOS image sensor are processed and the dark pixel values ​​are combined to produce the initial seed value. A pseudo-random number generator algorithm is used to improve the randomness of the initial seed value. This TRNG mobile app can be used in any Android mobile phone and this can also be used in any electronic device that has a CMOS image sensor. The efficiency of the system can be analyzed by a suite of statistical analyses. »

Find it spec sheet here. Published in March 2022.

A. Anna Lakshmi, M. Suganthi, R. Jeeva and DG David, “A novel technique for random number generation using CMOS image sensor”, AIP Conference Proceedings 2444, 050003 (2022) https://doi.org/10.1063/5.0078536 .

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Michael C. Garrison