A Signature Scheme with Unlinkable-yet-Accountable Pseudonymity for Privacy-Preserving Crowdsensing
- Submitting institution
-
University of South Wales / Prifysgol De Cymru
- Unit of assessment
- 12 - Engineering
- Output identifier
- 3279219
- Type
- D - Journal article
- DOI
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10.1109/TMC.2019.2901463
- Title of journal
- Transactions on Mobile Computing
- Article number
- -
- First page
- 752
- Volume
- 19
- Issue
- 4
- ISSN
- 1558-0660
- Open access status
- Compliant
- Month of publication
- February
- 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
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4
- Research group(s)
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B - Engineering Research Centre
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Key challenges in crowdsensing applications include handling user privacy, and managing malicious users that send fake sensing data or repetitive data to unjustly increase their reward from incentive policies. Previous works are fragmented that offer limited scalability and resiliency against selfish users. The novelty of this work is based on providing a complete solution that delivers unlinkable-yet-accountable pseudonymity with scalability in mind. This work was conducted in the scope of the international Eureka-CATRENE H2O project (http://www.h2o-project.eu/) that concluded in 2019, where the scientific excellence and impact was awarded an excellent score by a panel of technical experts (christian.dietrich@thalesgroup.com)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -