In this paper, we describe an innovative approach for aligning the business layer and the application layer of ArchiMate to ensure that applications manage access rights consistently with enterprise goals and risk tolerances. The alignment is realized by using the responsibility of the employees, which we model using ReMoLa. The main focus of the alignment targets the definition and the assignment of the access rights needed by the employees according to business specification. The approach is illustrated and validated with a case study in a municipal hospital in Luxembourg.

Enterprise Architecture Management (EAM) is considered to provide the mechanism for, amongst others, governing enterprise transformations required by changes in the environment. In this paper, we focus on changes that result from the analysis of information security risks and of their impacts on the services delivered by an enterprise. We present how the concepts of an information system security risks management domain can be mapped into the ArchiMate enterprise architecture modeling language. We illustrate the application of the proposed approach through the handling of a lab case.

The ongoing financial markets debacle and the global economic context advocate enhancing the governance of the companies and, de facto, improving the elaboration and the understanding of employees' responsibilities. Furthermore, the moral aspects of the business and the employees' commitment have appeared as becoming increasingly unavoidable to face emerging ethical challenges. These arising requirements have oriented our research toward the elaboration of an innovative responsibility model built on the concepts of obligation/accountability, right and commitment. This paper aims to present, validate and improve the responsibility model on the basis of a comparison to related concepts from the COBIT framework. In parallel to this improvement, proposals of conceptual modification of the COBIT framework are made and illustrated based on the RACI chart.

This paper aims at building a responsibility model based on the concepts of accountability, capability and commitment. The model's objectives are firstly to help organizations for verifying the organizational structure and detecting policy problems and inconsistency. Secondly, the paper brings up a conceptual framework to support organization for defining their corporate, security and access control policies. Our work provides a preliminary review of the researches performed in that field and proposes, based on the analyses, an UML responsibility model and a definition of all its concepts. Thereafter, to propose a formal representation of the model, we have selected the suitable language and logic system. The analyze highlights that an important variable is whether the responsibility is perceived at a user or at a company level.

Artificial intelligence and machine learning have recently made outstanding contributions to the performance of information system and cyber--physical system security. There has been a plethora of research in this area, resulting in an outburst of publications over the past two years. Choosing the right algorithm to solve a complex security problem in a very precise industrial context is a challenging task. Therefore, in this paper, we propose a Learning Algorithm Recommendation Framework that, for a clearly defined situation, guides the selection of learning algorithm and scientific discipline (e.g. RNN, GAN, RL, CNN,...) which have sparked great interest to the scientific community and which therefore offers preponderant elements and benefits for further deployments. This framework has the advantage of having been generated from an extensive analysis of the literature, as illustrated by this paper for the recurrent neural networks and their variations.