On-the-fly privacy for location histograms
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 27330
- Type
- D - Journal article
- DOI
-
10.1109/TDSC.2020.2980270
- Title of journal
- IEEE Transactions on Dependable and Secure Computing
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- UNSPECIFIED
- ISSN
- 1545-5971
- Open access status
- Compliant
- Month of publication
- -
- 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
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work introduced the notion of on-the-fly privacy for location histograms, which protects the frequency of location visits rather than each visit independently. This novel concept is significant because the on-the-fly setting necessitates protection every time the user visits a location, in contrast to the standard offline bulk data protection. Its analysis guarantees optimally designed location privacy mechanisms especially for location-based mobile applications. The evaluation of these mechanisms is meaningful as it is based on a real mobility dataset with 1083 users. This was a collaboration with Universities of Cardiff and Surrey.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
