Competitive Data Trading Model with Privacy Valuation for Multiple Stakeholders in IoT Data Markets
- Submitting institution
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Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1998
- Type
- D - Journal article
- DOI
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10.1109/JIOT.2020.2973662
- Title of journal
- IEEE Internet of Things
- Article number
- -
- First page
- 3623
- Volume
- 7
- Issue
- 4
- ISSN
- 2327-4662
- Open access status
- Compliant
- Month of publication
- February
- 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
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0
- Research group(s)
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-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents the first competitive model of data providers’ incentives-based personal data trading with privacy valuation and its proof with results for validation. As results of a GDPR-compliant personally identifiable information management project (2018-0-00261, Korean government) and a trust data connectome project (19ZH1200, ETRI, Korea), the core concepts for data management in a trustworthy personal data ecosystem in this work have been adopted in the international standardisation body ITU-T’s Recommendation (Y.3055), published as an international standard in 2020. This work also facilitated the development of ITU-T Technical Specification D5 (https://www.itu.int/pub/T-FG-DPM-2019-5) (Bilel Jamoussi, Chief, Study Groups Department, ITU-T, bilel.jamoussi@itu.int).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
