An autonomous privacy-preserving authentication scheme for intelligent transportation systems
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 12 - Engineering
- Output identifier
- 20094
- Type
- D - Journal article
- DOI
-
10.1016/j.cose.2016.04.006
- Title of journal
- Computers & Security
- Article number
- -
- First page
- 193
- Volume
- 60
- Issue
- UNSPECIFIED
- ISSN
- 0167-4048
- Open access status
- Deposit exception
- Month of publication
- -
- Year of publication
- 2016
- 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
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was in the scope of the EU-funded project ACCUS (ARTEMIS-005-2012/GA number-333020) focusing on the quality of life improvement in Smart Cities. Intelligent Transportation Systems comprise one of the main pillars of Smart Cities, but at the same time they suffer from location privacy issues in vehicular communications. Although many pseudonym-based authentication schemes have been proposed as the most promising approach to ensure location privacy, none of them work autonomously. Thus, the impact of this output is significant as it presents the first privacy-preserving authentication scheme, based on pseudonyms, that is fully autonomous.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
