Exploring Steganographic Techniques for Enhanced Data Protection in Digital Files

This article delves into the intricate field of digital steganography, a pivotal method for ensuring the confidentiality and integrity of hidden data within digital files. As digital communication continues to evolve, the necessity for robust security measures to protect sensitive information has never been more critical. This research primarily focuses on the exploration of steganographic techniques that not only safeguard the confidentiality of data but also maintain its integrity, thereby ensuring the data remains unchanged and secure from tampering. Additionally, the paper investigates the application of these methods in copyright protection and covert communications, highlighting their significance in the digital era. Through a comprehensive analysis of modern steganographic techniques, this study evaluates their advantages and disadvantages, along with their practical applicability in various information security tasks. The findings underscore the growing relevance of steganography in the face of increasing digital communication, offering insights into its role in military, diplomatic, and commercial domains. By examining digital watermarks and other steganographic tools, this work contributes to the ongoing discourse on digital privacy and security, presenting a nuanced understanding of how hidden data can be effectively embedded within digital files for protection against unauthorized access and use.

Authors

Institutions

Publication Details

Journal
International Journal of Advanced Research in Computational Thinking and Data Science
Published
2025-04-15
DOI
https://doi.org/10.37934/ctds.1.1.19a
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Steganographic Techniques for Enhanced Data Protection in Digital Files

Roshidi Din, Alaa Jabbar Qasim Almaliki, Ahmad Hamid Shakir, Sunariya Utama et al.
International Journal of Advanced Research in Computational Thinking and Data Science
Advanced Steganography and Watermarking Techniques
article

Exploring Steganographic Techniques for Enhanced Data Protection in Digital Files

Roshidi Din, Alaa Jabbar Qasim Almaliki, Ahmad Hamid Shakir, Sunariya Utama, Sarmad Hamzah Ali
article en

Abstract

This article delves into the intricate field of digital steganography, a pivotal method for ensuring the confidentiality and integrity of hidden data within digital files. As digital communication continues to evolve, the necessity for robust security measures to protect sensitive information has never been more critical. This research primarily focuses on the exploration of steganographic techniques that not only safeguard the confidentiality of data but also maintain its integrity, thereby ensuring the data remains unchanged and secure from tampering. Additionally, the paper investigates the application of these methods in copyright protection and covert communications, highlighting their significance in the digital era. Through a comprehensive analysis of modern steganographic techniques, this study evaluates their advantages and disadvantages, along with their practical applicability in various information security tasks. The findings underscore the growing relevance of steganography in the face of increasing digital communication, offering insights into its role in military, diplomatic, and commercial domains. By examining digital watermarks and other steganographic tools, this work contributes to the ongoing discourse on digital privacy and security, presenting a nuanced understanding of how hidden data can be effectively embedded within digital files for protection against unauthorized access and use.

International Journal of Advanced Research in Computational Thinking and Data ScienceVol. 1(1)
Al-Muthanna University (IQ), Northern University of Malaysia (MY)
Openalex Percentile: Top 89%
Advanced Steganography and Watermarking Techniques
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.