Continuous m-Health Data Authentication Using Wavelet Decomposition for Feature Extraction
- Submitting institution
-
Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3642
- Type
- D - Journal article
- DOI
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10.3390/s20195690
- Title of journal
- Sensors
- Article number
- ARTN 5690
- First page
- 5690
- Volume
- 20
- Issue
- 19
- ISSN
- 1424-8220
- 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
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work used the Heart Rate Variability (HRV) as variation of the heart rate for data authentication in health care monitoring. While data trust at the extraction end is verified, the data moving through the cloud network to the destination should also be secured against tempering. A further work (in preparation), in collaboration with the Centre for Security, Communications and Network Research, University of Plymouth, will leverage various bioelectrical signals for securing the data from the IoT and wearable devices to the health care centre using cancellable biometric algorithm.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -