Secure and Privacy-Aware Cloud-Assisted Video Reporting Service in 5G Enabled Vehicular Networks
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 990
- Type
- D - Journal article
- DOI
-
10.1109/TVT.2016.2541862
- Title of journal
- IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Article number
- -
- First page
- 7868
- Volume
- 65
- Issue
- 10
- ISSN
- 0018-9545
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- 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
-
2
- Research group(s)
-
-
- Citation count
- 56
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work presents a solution using novel ways to balance security, privacy, traceability and performance for the delivery of a 5G-based traffic accident reporting service. Simulations were conducted to confirm its feasibility. The work has attracted significant interest. For example, it inspired the development of another solution and was used as a benchmark for the solution evaluation, which was funded by National Research Foundation Korea and Korea Government (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676728/).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
