Decision support approaches for cyber security investment
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3
- Type
- D - Journal article
- DOI
-
10.1016/j.dss.2016.02.012
- Title of journal
- Decision Support Systems
- Article number
- -
- First page
- 13
- Volume
- 86
- Issue
- 1
- ISSN
- 0167-9236
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
10.1016/j.dss.2016.02.012
- 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
-
4
- Research group(s)
-
-
- Citation count
- 66
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We use a mixture of Game Theory and traditional multi-objective optimisation techniques to model cyber security for small/medium-size enterprises (SMEs) with a view to producing an optimal portfolio of cyber controls to protect the company against commodity-style cyber attacks. Commercialisation of the associated web-based tool is ongoing. The dataset that was constructed to support this work has been made available to other cybersecurity researchers. Continuation of this work is funded through a collaborative EPSRC grant (EP/R002983/1, £386K) with Queen Mary University of London to help organisations make better cybersecurity investments.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
