Extracting Randomness From The Trend of IPI for Cryptographic Operators in Implantable Medical Devices
- Submitting institution
-
University of Gloucestershire
- Unit of assessment
- 12 - Engineering
- Output identifier
- 423
- Type
- D - Journal article
- DOI
-
10.1109/TDSC.2019.2921773
- Title of journal
- IEEE Transactions on Dependable and Secure Computing
- Article number
- -
- First page
- 875
- Volume
- 18
- Issue
- 2
- ISSN
- 1545-5971
- Open access status
- Not compliant
- Month of publication
- June
- Year of publication
- 2019
- URL
-
http://eprints.glos.ac.uk/8500/
- 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
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -