A 3D Security Modelling Platform for Social IoT Environments
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 920
- Type
- D - Journal article
- DOI
-
10.1109/TCSS.2018.2878921
- Title of journal
- IEEE Transactions on Computational Social Systems
- Article number
- -
- First page
- 1174
- Volume
- 5
- Issue
- 4
- ISSN
- 2329-924X
- Open access status
- Other exception
- Month of publication
- November
- Year of publication
- 2018
- 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
-
6
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work is a key output of a DCMS/InnovateUK-funded project (Cyber Security Academic Startups Accelerator Programme, £123k, 2017). It presents a novel platform for modelling security requirements in a 3D environment, making “security by design” possible and resolving previously persistent complexity and transparency problems. The platform won the 2nd and 3rd prizes at the UK round and grand final of the China-UK Innovation & Entrepreneurship Competition in 2017, respectively. Also a commercial trial of the framework has been completed by Fujitsu UK (Contact: Dr Linda Finch, Cyber Security Consultancy Practice Lead, Email: Linda.Finch@uk.fujitsu.com) and ongoing improvements are being made.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
