Stego-Image Data Masking

Due to a vast increase in security breaches and other violations, Data hiding has become a vital measure for the protection of the integrity of an individual or a group. Image steganography is a perfect technique that exists for the protection of data from getting altered and getting safely transmitted. Steganography serves as an excellent method to secure information as the unauthorized party barely recognizes the secret message or a text that is hidden behind the original or the cover image. In this project we have mainly focused on the Least Significant Bit (LSB) for hiding the texts behind the images and build our idea through a GUI. LSB is quite simple and an efficient algorithm in which the least significant bit that barely changes the quality or the build of the original image is changed and is replaced by the secret text that we want to communicate to the other users. Image preprocessing and generation of the output stego image is done by Pillow (PIL) and OpenCV in which image binary pixels are taken as input then they are altered with the secret text and then finally sent to the desired user.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/icstsdg61998.2024.11026669
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

Stego-Image Data Masking

P. J. Beslin Pajila, M. Dinesh, R. Megiba Jasmine, T. P. Anish et al.
AI in cancer detection
article

Stego-Image Data Masking

P. J. Beslin Pajila, M. Dinesh, R. Megiba Jasmine, T. P. Anish, R. Nithyanandhan, M Aswathy
article en

Abstract

Due to a vast increase in security breaches and other violations, Data hiding has become a vital measure for the protection of the integrity of an individual or a group. Image steganography is a perfect technique that exists for the protection of data from getting altered and getting safely transmitted. Steganography serves as an excellent method to secure information as the unauthorized party barely recognizes the secret message or a text that is hidden behind the original or the cover image. In this project we have mainly focused on the Least Significant Bit (LSB) for hiding the texts behind the images and build our idea through a GUI. LSB is quite simple and an efficient algorithm in which the least significant bit that barely changes the quality or the build of the original image is changed and is replaced by the secret text that we want to communicate to the other users. Image preprocessing and generation of the output stego image is done by Pillow (PIL) and OpenCV in which image binary pixels are taken as input then they are altered with the secret text and then finally sent to the desired user.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), ASA College (US), Meenakshi Academy of Higher Education and Research (IN), Koje College (KR), Institute of Science and Technology
Openalex Percentile: Top 72%
AI in cancer detection
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