Steganography on Color Images Using Least Significant Bit (LSB) Method
- 10.2991/978-94-6463-174-6_5How to use a DOI?
- Steganography; Least Significant Bit (LSB); Text Security
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.
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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 -