Abstract
The contemporary digital age is characterized by the massive use of different information technologies and services in the cloud. This raises the following question: “Are personal data processed correctly in global environments?” It is known that there are many requirements that the Data Controller must perform. For this reason, this article presents a point of view for transferring some activities for personal data processing from a traditional system to a cloud environment. The main goal is to investigate the differences between the two versions of data processing. To achieve this goal, a preliminary deterministic formalization of the two cases using a Data Flow Diagram is made. The second phase is the organization of a mathematical (stochastic) model investigation on the basis of a Markov chain apparatus. Analytical models are designed, and their solutions are determined. The final probabilities for important states are determined based on an analytical calculation, and the higher values for the traditional version are defined for data processing in registers (“2”: access for write/read −0.353; “3”: personal data updating −0.212). The investigation of the situations based on cloud computing determines the increasing probability to be “2”. Discussion of the obtained assessment based on a graphical presentation of the analytical results is presented, which permits us to show the differences between the final probabilities for the states in the two versions of personal data processing.
Subject
Geometry and Topology,Logic,Mathematical Physics,Algebra and Number Theory,Analysis
Reference24 articles.
1. Digital technology and social change: The digital transformation of society from a historical perspective;Hilbert;Dialogues Clin. Neurosci.,2020
2. Data network effects: Key conditions, shared data, and the data value duality;Gregory;Acad. Manag. Rev.,2022
3. SLA management for comprehensive virtual machine migration considering scheduling and load balancing algorithm in cloud data centers;Halili;Int. J. Inf. Technol. Secur.,2020
4. Williamson, J.R., O’Hagan, J., Guerra-Gomez, J.A., Williamson, J.H., Cesar, P., and Shamma, D.A. (May, January 29). Digital Proxemics: Designing Social and Collaborative Interaction in Virtual Environments. Proceedings of the CHI’22 Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA.
5. Transfer learning model knowledge across multi-sensors locations over body sensor network;Qian;IEEE Sens. J.,2022
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Features and Aspects of Functional Modeling;Deterministic and Stochastic Approaches in Computer Modeling and Simulation;2023-10-06