Watermarking Method of Remote Sensing Data using Steganography Technique Based on Least Significant Bit Hiding

Destri Yanti Hutapea and Octaviani Hutapea (2018) Watermarking Method of Remote Sensing Data using Steganography Technique Based on Least Significant Bit Hiding. International Journal of Remote Sensing and Earth Sciences, 15 (1). pp. 63-70. ISSN 0216-6739

[thumbnail of Jurnal_Destri Yanti H_Pustekdata_2018.pdf]
Jurnal_Destri Yanti H_Pustekdata_2018.pdf

Download (575kB) | Preview


Remote sensing satellite imagery is currently needed to support the needs of information in various fields. Distribution of remote sensing data to users is done through electronic media. Therefore, it is necessary to make security and identity on remote sensing satellite images so that its function is not misused. This paper describes a method of adding confidential information to medium resolution remote sensing satellite images to identify the image using steganography technique. Steganography with the Least Significant Bit (LSB) method is chosen because the insertion of confidential information on the image is performed on the rightmost bits in each byte of data, where the rightmost bit has the smallest value. The experiment was performed on three Landsat 8 images with different area on each composite band 4,3,2 (true color) and 6,5,3 (false color). Visually the data that has been inserted information does not change with the original data. Visually, the image that has been inserted with confidential information (or stego image) is the same as the original image. Both images cannot be distinguished on histogram analysis. The Mean Squared Error value of stego images of all three data less than 0.053 compared with the original image. This means that information security with steganographic techniques using the ideal LSB method is used on remote sensing satellite imagery.

Item Type: Article
Uncontrolled Keywords: Steganography, least significant bit, security
Subjects: Taksonomi LAPAN > Teknologi Penginderaan Jauh > Pengelolaan dan Pengembangan > Citra Satelit
Divisions: LAPAN > Deputi Penginderaan Jauh > Pusat Teknologi dan Data Penginderaan Jauh
Depositing User: Administrator Repository
Date Deposited: 11 Aug 2021 02:46
Last Modified: 19 Jul 2022 08:47
URI: https://karya.brin.go.id/id/eprint/11496

Actions (login required)

View Item
View Item