Development of a steganographic algorithm using random numbers
DOI:
https://doi.org/10.37135/ns.01.11.08Keywords:
Steganographic algorithm, canny edge, Least Significant Bit, Random numbers, image processingAbstract
This research aims to reduce noise in images by using steganography based on the LSB (Least Significant Bit) technique, the Canny Edge filter for edge detection, and the generation of random numbers. For this purpose, several indicators were compared, and various statistical tests were applied to test the hypothesis and draw conclusions. To develop the application, we used: Java (programming language), Netbeans (IDE), Beyond Compare (compare hexadecimals), Guiffy ImageDiff (compare differences between pixels in images), StegSecret (perform steganalysis), and Digital Invisible Ink Toolkit (to the calculation of image quality metrics: PSNR and MSE). For this purpose, two prototypes were developed (Prototype I: LSB and Canny Edge; Prototype II: LSB, Canny Edge, and random numbers). The results obtained were compared, resulting in less noise generated when implementing random numbers in the steganographic process.
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References
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