A privacy awareness system for software design
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-09927
- Type
- D - Journal article
- DOI
-
10.1142/S0218194019500499
- Title of journal
- International Journal of Software Engineering and Knowledge Engineering
- Article number
- -
- First page
- 1557
- Volume
- 29
- Issue
- 10
- ISSN
- 0218-1940
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2019
- URL
-
http://eprints.gla.ac.uk/196768/
- 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
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: This paper presents the first solution to the problem of how to determine privacy risk in software design to enable the development of more trustworthy systems though providing stronger privacy guarantees. SIGNIFICANCE: The work shows that a privacy awareness system can help evaluate privacy risks at design time, and the outcome of this work has generated three research and entrepreneurship awards (£100k IUK CyberASAP; CyLon’s HutZero 6; £270k Scottish Enterprise HGSP). RIGOUR: the algorithms are stated precisely and implemented as a privacy reasoning engine. The system is evaluated using Twitter information flow models under a Service Oriented Architecture.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -