| Title | True Random Number Generator (TRNG) for Secure Communications in the Era of IoT |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Ji, Zhigang, Brown, James, Zhang, Jianfu |
| Conference Name | 2020 China Semiconductor Technology International Conference (CSTIC) |
| Date Published | June 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-6558-5 |
| Keywords | cryptography, Entropy, Generators, Human Behavior, Internet of Things, Metrics, NIST, Power demand, pubcrawl, random key generation, Reliability engineering, resilience, Resiliency, Scalability |
| Abstract | 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. |
| URL | https://ieeexplore.ieee.org/document/9282535 |
| DOI | 10.1109/CSTIC49141.2020.9282535 |
| Citation Key | ji_true_2020 |
True Random Number Generator (TRNG) for Secure Communications in the Era of IoT