Akinrolabu, Olusola, Nurse, Jason R. C., Martin, Andrew, New, Steve (2019) Cyber risk assessment in cloud provider environments: Current models and future needs. Computers & Security, 87 . Article Number 101600. ISSN 0167-4048. (doi:10.1016/j.cose.2019.101600) (KAR id:75979)
PDF
Author's Accepted Manuscript
Language: English
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
|
|
Download this file (PDF/1MB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: https://doi.org/10.1016/j.cose.2019.101600 |
Abstract
Traditional frameworks for risk assessment do not work well for cloud computing. While recent work has often focussed on the risks faced by firms adopting or selecting cloud services, there has been little research on how cloud providers might assess their own services. In this paper, we use an in-depth review of the extant literature to highlight the weaknesses of traditional risk assessment frameworks for this task. Using examples, we then describe a new risk assessment model (CSCCRA) and compare this against three established approaches. For each approach, we consider its goals, the risk assessment process, decisions, the scope of the assessment and the way in which risk is conceptualised. This evaluation points to the need for dynamic models specifically designed to evaluate cloud risk. Our suggestions for future research are aimed at improving the identification, assessment, and mitigation of inter-dependent cloud risks inherent in a defined supply chain.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1016/j.cose.2019.101600 |
Uncontrolled keywords: | Cloud computing, Risk assessment, Conceptual model, Cloud risks, Quantitative and qualitative assessment, Supply chain |
Subjects: |
Q Science Q Science > QA Mathematics (inc Computing science) T Technology |
Divisions: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Jason Nurse |
Date Deposited: | 24 Aug 2019 11:07 UTC |
Last Modified: | 05 Nov 2024 12:40 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/75979 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):