@inproceedings{discovery1489963,
         address = {London, UK},
           title = {Improving Security Decision under Uncertainty: A Multidisciplinary Approach},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
         journal = {2015 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA)},
       publisher = {IEEE},
            year = {2015},
          editor = {C Onwubiko},
       booktitle = {International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA)},
           pages = {1--7},
           month = {July},
        keywords = {Science \& Technology, Technology, Computer Science, Theory \& Methods, Engineering, Electrical \& Electronic, Computer Science, Engineering, security, requirements engineering, decision-making, risk, crime script, uncertainty, identity theft, SCRIPT ANALYSIS, REQUIREMENTS, PREVENTION},
          author = {Dehghanniri, H and Letier, E and Borrion, H},
        abstract = {Security decision-making is a critical task in tackling security threats affecting a system or process. It often involves selecting a suitable resolution action to tackle an identified security risk. To support this selection process, decision-makers should be able to evaluate and compare available decision options. This article introduces a modelling language that can be used to represent the effects of resolution actions on the stakeholders' goals, the crime process, and the attacker. In order to reach this aim, we develop a multidisciplinary framework that combines existing knowledge from the fields of software engineering, crime science, risk assessment, and quantitative decision analysis. The framework is illustrated through an application to a case of identity theft.},
             url = {https://doi.org/10.1109/CyberSA.2015.7166134}
}