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Filters: Author is Brown, James  [Clear All Filters]
2021-08-31
Ji, Zhigang, Brown, James, Zhang, Jianfu.  2020.  True Random Number Generator (TRNG) for Secure Communications in the Era of IoT. 2020 China Semiconductor Technology International Conference (CSTIC). :1—5.
True Random number Generator (TRNG) is critical for secure communications. In this work, we explain in details regarding our recent solution on TRNG using random telegraph noise (RTN) including the benefits and the disadvantages. Security check is performed using the NIST randomness tests for both the RTN-based TRNG and various conventional pseudo random umber generator. The newly-proposed design shows excellent randomness, power consumption, low design complexity, small area and high speed, making it a suitable candidate for future cryptographically secured applications within the internet of things.