Paper Title

Concealed Data - Investigating Python-powered Image Steganography Techniques

Article Identifiers

Registration ID: IJNRD_209568

Published ID: IJNRD2311299

DOI: Click Here to Get

Authors

Sahil , Vibhor Kumawat , Deepika Sharma

Keywords

Image steganography, python programming, data concealment, digital communication security, information hiding, data integrity.

Abstract

The rapid evolution of digital communication has brought about the need for advanced data concealment techniques to ensure secure and covert information transmission. In this context, this research delves into the realm of image steganography, focusing on the investigation and implementation of Python-powered techniques for concealing data within digital images. Through a critical analysis of existing literature and a meticulous exploration of historical steganography methodologies, this project offers an in-depth understanding of the intricacies and complexities involved in hiding information within image pixels. Employing a comprehensive methodology, this study meticulously evaluates various Python-based image steganography algorithms, assessing their embedding capacity, data integrity preservation, and overall security aspects. The results highlight the effectiveness and limitations of the implemented techniques, shedding light on their practical implications in contemporary digital communication systems. Ultimately, this research contributes to the enhancement of data concealment strategies, emphasizing the significance of Python as a powerful tool in the domain of modern image steganography.

How To Cite

"Concealed Data - Investigating Python-powered Image Steganography Techniques", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.c813-c817, November-2023, Available :https://ijnrd.org/papers/IJNRD2311299.pdf

Issue

Volume 8 Issue 11, November-2023

Pages : c813-c817

Other Publication Details

Paper Reg. ID: IJNRD_209568

Published Paper Id: IJNRD2311299

Downloads: 000121133

Research Area: Engineering

Country: Kharar, Punjab, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311299.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311299

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area