Random‑telegraph‑noise‑enabled true random number generator for hardware security
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2004
- Type
- D - Journal article
- DOI
-
10.1038/s41598-020-74351-y
- Title of journal
- Scientific Reports
- Article number
- 17210
- First page
- -
- Volume
- 10
- Issue
- 1
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
6
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- As a key output of a DCMS/InnovateUK-funded project for potential impact (Cyber Security Academic Startups Accelerator Programme, £141k), this work is to tackle a fundamental security issue for IoT devices with low power and low processing capabilities. A true random number generator, which uses exclusively conventional CMOS technology to offer key improvements over previous designs in complexity, output bitrate, and power consumption, makes security become possible for IoT devices from the root. A patent has been granted in the US (US 16/272,343) and another EU patent (EP19157790.7) is currently under examination. A hardware prototype was also manufactured for commercial exploitation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
