Risk Assessment for Mobile Systems Through a Multilayered Hierarchical Bayesian Network
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 920775
- 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
-
http://dx.doi.org/10.1109/TCYB.2016.2537649
- 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 proposed a multi-layer Bayesian risk graphical (BRG) model to evaluate risk propagation in a layered risk architecture in Android-based mobile systems. This work is a new start of risk analysis in complicate systems (e.g., mobile systems, IoT systems, cyber-physical-system, etc.) and the proposed BRG can well model and evaluate potential risks by integrating static analysis, dynamic analysis, and behaviour analysis in a hierarchical framework. This work can help users identify, manage, and safeguard data, information, and assets in complicated systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
