Paper Title

Image Encryption Using Chaotic Maps

Article Identifiers

Registration ID: IJNRD_196036

Published ID: IJNRD2305666

DOI: Click Here to Get

Authors

Siddharth Kumar , Sumeet Sah , Shivanshu Mall , Ritik Tyagi

Keywords

Abstract

Image encryption is a crucial aspect of data security, which involves the transformation of an image into an unreadable form, making it inaccessible to unauthorized parties. Chaotic maps have been increasingly used as a means of encryption due to their inherent properties of unpredictability and sensitivity to initial conditions. This paper proposes a novel image encryption scheme based on chaotic maps, which employs a chaotic logistic map. The scheme utilizes a key matrix generated by the two chaotic maps to perform a substitution-permutation network on the input image, ensuring a high degree of security. The proposed scheme is evaluated using various statistical tests and is found to be robust against attacks such as brute force, differential, and statistical attacks. Furthermore, the scheme demonstrates good performance in terms of encryption speed and is suitable for real-time image encryption applications. The results of the study suggest that the proposed scheme can be an effective solution for image encryption in various practical applications.

How To Cite (APA)

Siddharth Kumar, Sumeet Sah, Shivanshu Mall, & Ritik Tyagi (May-2023). Image Encryption Using Chaotic Maps. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), g520-g526. https://ijnrd.org/papers/IJNRD2305666.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : g520-g526

Other Publication Details

Paper Reg. ID: IJNRD_196036

Published Paper Id: IJNRD2305666

Downloads: 000121982

Research Area: Computer Engineering 

Country: Ghaziabad, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305666.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305666

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

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

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

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

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

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