A Review on Securing Database using Steganography

Sandra Sunny , Alby Sunny , Amitha Joseph

Index Terms: Data Protection, Database, StegoDb, Steganography, cryptography, LSB, Json

Abstract: Steganography is the practice of hiding a secret message within another, seemingly innocuous message. The purpose of this technique is to conceal the existence of the hidden message, making it difficult for an outsider to detect. This method has been used throughout history for various purposes, including sending confidential information during wartime, delivering sensitive messages between spies, and communicating in secret during politically turbulent times. In the digital age, steganography has taken on new forms, such as hiding data within image, audio, and video files. Database steganography refers to the practice of hiding secret data within a database. It involves embedding confidential information within the structure or content of a database, making it difficult for unauthorized users to detect the hidden information. The paper presents a review on mainly two steganography technique for securing database. One uses steganography technique to hide a database record inside another database records and the other technique allows a user to create basic tables and records which are hidden from others inside an image.

Published Paper   E-Certificate

"A Review on Securing Database using Steganography", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1438 - 1443, March-2023, Available :https://ijsdr.org/papers/IJSDR2303248.pdf

Volume 8 Issue 3, March-2023

Pages : 1438 - 1443

Paper Reg. ID: IJSDR_204976

Published Paper Id: IJSDR2303248

Downloads: 000347517

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303248

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303248

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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