Decision support approaches for cyber security investment
- Submitting institution
-
Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 439
- Type
- D - Journal article
- DOI
-
10.1016/j.dss.2016.02.012
- Title of journal
- Decision Support Systems
- Article number
- C
- First page
- 13
- Volume
- 86
- Issue
- -
- ISSN
- 0167-9236
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- 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
-
4
- Research group(s)
-
-
- Citation count
- 66
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This research was funded by EPSRC grant EP/K005820/1 (Malacaria PI, £316k, 2013-16);
the project was also part of the Research Institute in Science of Cyber Security. It aims to ""help people make better security decisions"" by using game theory and optimization.
QMUL PDRA Panousis now a reader at the University of Greenwich. Follow up research published in ESORICS 2016 and EJOR 2019. Crucially this research has been now further funded by EPSRC grant EP/R004897/1 ""Customized and Adaptive approach for Optimal Cybersecurity Investment"" (2017-2021, £389k) (Malacaria PI)"
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -