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Published on: March 23, 2017
A novel and efficient digital image steganography technique using least significant bit substitution
Shahid Rahman1, Jamal Uddin2, Hameed Hussain1
1Department of Computer Science, University of Buner, Swari, 19290, KP, Pakistan.
This study introduces an efficient image steganography technique using Least Significant Bit (LSB) substitution combined with encryption and matrix operations. The novel method enhances data security and reliability in hidden communication.
Area of Science:
- Computer Science
- Information Security
- Digital Image Processing
Background:
- Steganography hides data within cover media, with image-based steganography facing challenges in transparency, security, and reliability.
- Existing image steganography methods often exhibit reliability issues, necessitating improved techniques.
Purpose of the Study:
- To propose an efficient and reliable image-based steganography technique.
- To address the limitations of current steganography methods, particularly concerning reliability and security.
Main Methods:
- Developed a novel algorithm combining Least Significant Bit (LSB) substitution with Magic Matrix, Multi-Level Encryption Algorithm (MLEA), Secret Key (SK), and transposition/flipping.
- Employed a comprehensive suite of Quality Assessment Metrics (QAMs) including PSNR, SSIM, NCC, and MSE for evaluation.
- Tested the algorithm on 165 diverse RGB images of varying dimensions and hidden data sizes.
Main Results:
- The proposed LSB substitution method demonstrated minimized error rates and enhanced embedding reliability.
- Experimental results confirmed the technique's efficiency and effectiveness across various quality assessment metrics.
- Comparative and security analyses showed significant improvements over existing state-of-the-art steganography methods.
Conclusions:
- The integrated approach of LSB substitution, encryption, and matrix operations offers a robust solution for secure image steganography.
- The proposed technique provides superior performance in terms of security, reliability, and efficiency compared to current methods.
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