Risk assessment for mobile systems through a multilayered hierarchical Bayesian network.
- Submitting institution
-
Edinburgh Napier University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1110533
- Type
- D - Journal article
- DOI
-
10.1109/TCYB.2016.2537649
- Title of journal
- IEEE Transactions on Cybernetics
- Article number
- -
- First page
- 1749
- Volume
- 46
- Issue
- 8
- ISSN
- 2168-2267
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- 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
-
3
- Research group(s)
-
-
- Citation count
- 25
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper provides an analysis of mobile systems using a Bayesian network, allowing users and system administrators a way to evaluate security risk, and understand the risk in apps which they may use. The publication helps underpin a number of different research projects. This work was part of a European Action Grant, with multi-institute collaboration.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -