Confidentiality. Integrity, and Availability (CIA) Approach for Private Dataset Management System Design
Dataset management systems are essential for assisting research and development (R&D) organizations in applying data governance protocols, especially in managing the utilization of datasets. In R&D, datasets are vital sources for producing analysis, machine learning prediction, and supporting decision-making. As such, it is important to deploy dataset management systems with considerations regarding the aspects of Confidentiality, Integrity, and Availability (CIA) which is a design principle that emphasized information protection and collaboration facilitation among dataset users. The study proposed an analysis and a design for a dataset management system that takes CIA aspects into account. In the future, the proposed design will be utilized as a benchmark for building a dataset management system. In this study, the Waterfall method was adopted. A use case diagram, an ERD (Entity Relationship Diagram), and an activity diagram were constructed in the design stage. In the project implementation stage, the Laravel framework including Laravel Jetstream was considered to be used.
Authors
- Gregorius Natanael Elwirehardja (ORCID: https://orcid.org/0000-0002-1533-8982)
- Dedy Ariansyah (ORCID: https://orcid.org/0000-0001-7800-419X)
- Bens Pardamean (ORCID: https://orcid.org/0000-0002-7404-9005)
- Reza Rahutomo (ORCID: https://orcid.org/0000-0001-6930-8140)
- Mahmud Isnan (ORCID: https://orcid.org/0000-0002-5519-0521)
Institutions
- Binus University (ID)
Publication Details
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1109/icitda64560.2024.10809935
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 0.00