Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022)

Steganography on Color Images Using Least Significant Bit (LSB) Method

Authors
Tutuk Indriyani1, *, S. Nurmuslimah1, Audita Taufiqurrahman1, Rinci Kembang Hapsari1, Citra Nurina Prabiantissa1, Aeri Rachmad2
1Department of Informatics, Faculty of Electrical and Information Technology, Institut Teknologi Adhi Tama Surabaya, Surabaya, Indonesia
2Department of Information Systems, Universitas Trunojoyo Madura, Madura, Indonesia
*Corresponding author. Email: tutuk@itats.ac.id
Corresponding Author
Tutuk Indriyani
Available Online 22 May 2023.
DOI
10.2991/978-94-6463-174-6_5How to use a DOI?
Keywords
Steganography; Least Significant Bit (LSB); Text Security
Abstract

In some fields, high data security is required for data transmission. This raises concerns about misuse of data to irresponsible parties. To protect it, efforts were made to hide factual information on top of other information, namely steganography using the Least Significant Bit (LSB) method. This method has the advantage of a well-compressed image that is difficult to detect with the naked eye and has a fast process. In this study, the LSB method has two processes, namely the endcoding and decoding processes. The proposed method is tested and then evaluated MSE and computation time. In this research, each test uses 20 text messages and 20 images. The Text messages that were tested for insertion in images consisted of short messages, medium messages, and long messages. The text message will be inserted into the image with a small and a large image. The test results for the category of short messages inserted into thumbnails produce an average MSE value of 0.28 db, an average encoding and decoding processing time of 14 ms. The medium message category embedded in large images produces an average MSE value of 0.029 db, the average encoding and decoding time is 54ms. The long message category inserted in large images produces an average MSE value of 0.11 db, the average encoding and decoding time 1700 ms. The results of the three tests were that all text messages were successfully inserted into the images.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022)
Series
Advances in Intelligent Systems Research
Publication Date
22 May 2023
ISBN
978-94-6463-174-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-174-6_5How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Tutuk Indriyani
AU  - S. Nurmuslimah
AU  - Audita Taufiqurrahman
AU  - Rinci Kembang Hapsari
AU  - Citra Nurina Prabiantissa
AU  - Aeri Rachmad
PY  - 2023
DA  - 2023/05/22
TI  - Steganography on Color Images Using Least Significant Bit (LSB) Method
BT  - Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022)
PB  - Atlantis Press
SP  - 39
EP  - 48
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-174-6_5
DO  - 10.2991/978-94-6463-174-6_5
ID  - Indriyani2023
ER  -