Privacy in the Smart City—Applications, Technologies, Challenges, and Solutions
- Submitting institution
-
De Montfort University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11121
- Type
- D - Journal article
- DOI
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10.1109/comst.2017.2748998
- Title of journal
- IEEE Communications Surveys & Tutorials
- Article number
- -
- First page
- 489
- Volume
- 20
- Issue
- 1
- ISSN
- 1553-877X
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- 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
- 50
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was the first to systematically analyze privacy challenges and solutions for smart cities. The paper found seven significant open issues that need to be solved to enable privacy-friendly smart cities. Based on extensive literature review, the paper proposed taxonomies for smart city applications, technologies, and privacy types and systematized dozens of examples of real smart city deployments. The paper has formed the basis for tutorials at the IEEE International Smart City Conference and at ACM AsiaCCS, and led to follow-on funding from the National Research Foundation Singapore (NRF2019-ITS005-0015).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -