Extracting Randomness from the Trend of IPI for Cryptographic Operations in Implantable Medical Devices
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2407
- Type
- D - Journal article
- DOI
-
10.1109/tdsc.2019.2921773
- Title of journal
- IEEE Transactions on Dependable and Secure Computing
- Article number
- -
- First page
- 1
- Volume
- 2019
- Issue
- 2
- ISSN
- 1545-5971
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2019
- 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
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Deriving cryptographic material from physiological values, e.g. inter-pulse intervals (IPI), to bootstrap secure association requires generating sufficient randomness from the values measured. This paper proposes a novel method and thoroughly evaluates the randomness achieved using a large data set of approx. 900M IPIs, and it also explains why other work has previously failed. The work led to Innovate UK Commercialisation funding for Chizari as part of the Cyber Security Academic Start-up Accelerator Programme (CyberASAP No: 10539 Biogenerate; https://bit.ly/2YIy5tA).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
