Visible to the public Biblio

Filters: Keyword is modelling language  [Clear All Filters]
2018-06-11
Maines, C. L., Zhou, B., Tang, S., Shi, Q..  2017.  Towards a Framework for the Extension and Visualisation of Cyber Security Requirements in Modelling Languages. 2017 10th International Conference on Developments in eSystems Engineering (DeSE). :71–76.
Every so often papers are published presenting a new extension for modelling cyber security requirements in Business Process Model and Notation (BPMN). The frequent production of new extensions by experts belies the need for a richer and more usable representation of security requirements in BPMN processes. In this paper, we present our work considering an analysis of existing extensions and identify the notational issues present within each of them. We discuss how there is yet no single extension which represents a comprehensive range of cyber security concepts. Consequently, there is no adequate solution for accurately specifying cyber security requirements within BPMN. In order to address this, we propose a new framework that can be used to extend, visualise and verify cyber security requirements in not only BPMN, but any other existing modelling language. The framework comprises of the three core roles necessary for the successful development of a security extension. With each of these being further subdivided into the respective components each role must complete.
2017-03-07
Dehghanniri, H., Letier, E., Borrion, H..  2015.  Improving security decision under uncertainty: A multidisciplinary approach. 2015 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA). :1–7.

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.