Dynamic data masking: Enhancing data security in real-time

preprint OA: closed
Full text JSON View at publisher
Full text 2,054 characters · extracted from oa-doi-fallback · 2 sections · click to expand

Abstract

The increasing number of organizations worldwide must protect vital information from unapproved access in the present data-centered environment. The powerful Dynamic Data Masking technology enables organizations to protect data by letting users access specific details according to their roles and privileges. Real-time change operations of DDM transform how data appears while simultaneously keeping stored data untouched. The article analyzes DDM principles and deployment approaches and dissects its advantages in different organizational settings. The article utilizes examples from the technology, financial, and healthcare sectors to display how DDM enables regulatory compliance and safeguards organizations against insider and external attacks. The paper provides solutions to address system compatibility and performance overhead challenges that emerge during DDM implementation while discussing practical recommendations. DDM analysis demonstrates its crucial position in modern data defense systems and its transformative effect on organizational sensitive information management. Supplementary Material File (ijsra-2023-0145.pdf) - Download - 837.87 KB Information & Authors Information Version history Copyright This work is licensed under a Non Exclusive No Reuse License.

Keywords

Authors Metrics & Citations Metrics Article Usage 296views 212downloads Citations Download citation Arfi Siddik Mollashaik. Dynamic data masking: Enhancing data security in real-time. Authorea. 28 July 2025. DOI: https://doi.org/10.22541/au.175373199.97616462/v1 DOI: https://doi.org/10.22541/au.175373199.97616462/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00