Privacy Thinging Applied to the Processing Cycle of Bank Cheques

Abstract

Privacy policies and mechanisms should be assessed based on conceptual and flow analyses. The flow analysis includes studying flows through corporate procedure graphs and identifying specific personal data items. This paper describes a high-level abstracted approach to conceptualizing privacy aspects in banking processes. Furthermore, it proposes a conceptual model that can be used as a base for providing privacy analysis and describes organizations and their operational processes in the UML-style security specifications. The proposed model, named the Thinging Machine (TM) model, is built on the conception of the flow of things from one machine (e.g., a source) to another. We illustrate several advantages of TM by contrasting it with other diagrammatic representations. A case study in an actual bank is introduced to demonstrate the viability of TM.