Home // International Journal On Advances in Security, volume 11, numbers 1 and 2, 2018 // View article


RMDM – Further Verification of the Conceptual ICT Risk-Meta-Data-Model - Verified with the underlying Risk Models of COBIT for Risk and COSO ERM 2017

Authors:
Martin Latzenhofer
Gerald Quirchmayr

Keywords: information and communication technology risk management; ICT risk-meta-data-model; COBIT for Risk; COSO ERM 2017; metamodeling; UML

Abstract:
The aim of this article is to introduce an approach that integrates the different models and methods currently applied for risk management in information and communication technologies (ICT). These different risk management approaches are usually bound to the organization where they are applied, thus staying quite specific for a given setting. Consequently, there is no possibility to compare or reuse risk management structures because they are individual solutions. In order to establish a common basis for working with different underlying risk models, a metamodeling approach from the area of disaster recovery is used. This contribution describes a comprehensive mapping of information artefacts from both the COBIT for Risk and the COSO Enterprise Risk Management (ERM) framework in its new 2017 version which are then lifted to the meta-level of the proposed ICT risk-meta-data-model in order to be able to work with them in a consolidated way. Through this mapping process, all information artefacts are extracted, consolidated and harmonized to minimize the number of relevant objects. It has turned out that both the list of consolidated objects and the derived describing attributes can in general be incorporated into the proposed ICT risk-meta-data-model (RMDM). The results show that it is worth examining a data-structure-oriented approach to develop both a model and a data structure for further framework-independent processing.

Pages: 91 to 103

Copyright: Copyright (c) to authors, 2018. Used with permission.

Publication date: June 30, 2018

Published in: journal

ISSN: 1942-2636