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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Confidentiality. Integrity, and Availability (CIA) Approach for Private Dataset Management System Design

Gregorius Natanael Elwirehardja, Dedy Ariansyah, Bens Pardamean, Reza Rahutomo et al.
Privacy-Preserving Technologies in Data
article

Confidentiality. Integrity, and Availability (CIA) Approach for Private Dataset Management System Design

Gregorius Natanael Elwirehardja, Dedy Ariansyah, Bens Pardamean, Reza Rahutomo, Mahmud Isnan
article en

Abstract

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.

Binus University (ID)
Openalex Percentile: Top 78%
Privacy-Preserving Technologies in Data
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Confidentiality. Integrity, and Availability (CIA) Approach for Private Dataset Management System Design — Gregorius Natanael Elwirehardja, Dedy Ariansyah, et al. · (2024) | TGRS Research Map | TGRS