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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM59071

Image Steganography System using Python Cryptographic Security

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM59071

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM59071

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AS

Adharsh Sajikumar

GG

Gajanan Ghirnikar

SG

Sneha Ghadi

JJ

Jaydeep Joshi

VV

Vaidehi Varma

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Abstract

As the digital communication is rapidly growing, data security, and the invisibility of information transmission has become a vital issue. Conventional cryptographic methods secure the information but reveal the existence of encrypted information whereas steganography hides the information but fails when applied alone. In order to address these shortcomings, this paper will discuss a secure image steganography model that combines AES/RSA encryptions with the Least Significant Bit (LSB) image steganography. The system is a secure encrypted and embedded system to insert text and images, audio, and the PDF files into digital images with the aid of Python and OpenCV, which can easily extract the data accurately and reversible to the authorized user. The quality of the image is maintained by pixel- to-pixel comparison and PSNR analysis, and the results prove that there is not much visual impairment. The suggested solution provides a dual-layer security, high imperceptibility and practical ability in a secure communication and privacy of data.

KEYWORDS

Image Steganography Cryptography AES RSA LSB Technique OpenCV PSNR Secure Data Hiding Multime- dia Security

Cite This Article

Adharsh Sajikumar, Gajanan Ghirnikar, Sneha Ghadi, Jaydeep Joshi, Vaidehi Varma, "Image Steganography System using Python Cryptographic Security," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM59071

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Publication Date

5/3/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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