Data Integrity and Security Mechanisms in Cloud-Based Relational Databases

Cloud-based relational databases have redefined how modern organizations store, manage, and scale data. While the cloud offers significant benefits in terms of accessibility and cost-effectiveness, it also introduces unique security and data integrity challenges. This paper examines the strategies and technologies used to safeguard data stored in cloud-hosted relational databases. We focus on critical concerns like data consistency, confidentiality, access control, and the protection of data from unauthorized alterations. Techniques such as cryptographic hashing, role-based access control (RBAC), and integrity verification mechanisms are discussed. The paper also highlights architectural best practices, outlines current challenges, and explores recent innovations such as blockchain and AI-driven anomaly detection

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2024-11-30
DOI
https://doi.org/10.48175/ijarsct-22561
Citations
1
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data Integrity and Security Mechanisms in Cloud-Based Relational Databases

D. Chatterjee, Palasri Dhar, Koushik Pal, Mrinmoy Pal et al.
1 citations
International Journal of Advanced Research in Science Communication and Technology
Cloud Data Security Solutions
0.78
article

Data Integrity and Security Mechanisms in Cloud-Based Relational Databases

D. Chatterjee, Palasri Dhar, Koushik Pal, Mrinmoy Pal, Sunit Jana, R. Biswas
article en
1 citations

Abstract

Cloud-based relational databases have redefined how modern organizations store, manage, and scale data. While the cloud offers significant benefits in terms of accessibility and cost-effectiveness, it also introduces unique security and data integrity challenges. This paper examines the strategies and technologies used to safeguard data stored in cloud-hosted relational databases. We focus on critical concerns like data consistency, confidentiality, access control, and the protection of data from unauthorized alterations. Techniques such as cryptographic hashing, role-based access control (RBAC), and integrity verification mechanisms are discussed. The paper also highlights architectural best practices, outlines current challenges, and explores recent innovations such as blockchain and AI-driven anomaly detection

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 16%
Cloud Data Security Solutions
0.78
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.