Image Steganography Using Least Significant Algorithm

May 2024
Vol-10, Issue-4
Paper ID: 23969
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science Engineering
Keywords
Image Steganography Least Significant Bit Systematic Literature Review Peak Signal-to-Noise Ratio Mean Squa
Abstract
Image steganography is a technique that involves concealing information within digital images to ensure secure communication. The LSB algorithm is a widely employed method for image steganography due to its simplicity and effectiveness. In this approach, the LSB of selected pixels in the image is modified to embed hidden data without significantly altering the visual appearance of the image. The proposed System explores the principles of the LSB algorithm, its implementation for hiding information, and its potential applications in secure communication. The study evaluates the algorithm's capacity, robustness, and security aspects, highlighting its strengths and limitations The LSB is the rightmost bit in a binary representation of a pixel, and it generally has the least impact on the overall visual perception of the image when altered. This characteristic makes the LSB algorithm popular for its simplicity and ease of implementation. Techniques, the Least Significant Bit (LSB) algorithm stands out for its simplicity and ubiquity. The proposed delves into the intricacies of image steganography using the LSB algorithm, elucidating its fundamental principles and implementation nuances. The proposed concludes with a discussion on current limitations and potential future directions in advancing image steganography techniques, fostering a deeper understanding of the algorithm's role in clandestine communication and secure information exchange.

Author Information

# Name Institute / Affiliation
1 Bharathi Kannan B Hindusthan College of engineering and technology
2 Rakesh Yashep Rumalien S Hindusthan College of engineering and technology
3 Ramachandran A Hindusthan College of engineering and technology
4 Tharun Balaji SK Hindusthan College of engineering and technology
5 Vishnu R Hindusthan College of engineering and technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
B, Bharathi Kannan, S, Rakesh Yashep Rumalien, A, Ramachandran, SK, Tharun Balaji, & R, Vishnu (2024). Image Steganography Using Least Significant Algorithm. International Journal of Advance Research and Innovative Ideas In Education, 10(4), 1746-1752.
MLA Style
B, Bharathi Kannan, et al. "Image Steganography Using Least Significant Algorithm." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 4, 2024, pp. 1746-1752.
IEEE Style
Bharathi Kannan B, Rakesh Yashep Rumalien S, Ramachandran A, Tharun Balaji SK, and Vishnu R, "Image Steganography Using Least Significant Algorithm," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 4, pp. 1746-1752, 2024.
Vancouver Style
B Bharathi Kannan, S Rakesh Yashep Rumalien, A Ramachandran, SK Tharun Balaji, R Vishnu. Image Steganography Using Least Significant Algorithm. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(4):1746-1752.
Harvard Style
B, Bharathi Kannan, S, Rakesh Yashep Rumalien, A, Ramachandran, SK, Tharun Balaji, & R, Vishnu (2024) 'Image Steganography Using Least Significant Algorithm', International Journal of Advance Research and Innovative Ideas In Education, 10(4), pp. 1746-1752.
Chicago Style
B, Bharathi Kannan, et al. "Image Steganography Using Least Significant Algorithm." International Journal of Advance Research and Innovative Ideas In Education 10, no. 4 (2024): 1746-1752.
Turabian Style
B, Bharathi Kannan, et al. "Image Steganography Using Least Significant Algorithm." International Journal of Advance Research and Innovative Ideas In Education 10, no. 4 (2024): 1746-1752.

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