Evaluating the Impact of the Number of Secret Sharing Participants on Stego Image
Chaidir Chalaf Islamy, Tohari Ahmad, Royyana Muslim Ijtihadie · 2021
Transmitting secret information that is constantly carried out on the internet can increase security risks. In this research, we implement the histogram-based method and prediction-error expansion scheme to work on this issue. Here, the stego image produced by these methods is processed with Shamir's secret sharing to protect further the data hidden inside it. To reconstruct the stego image, at least some participants must combine the share images. Then, the data hidden in the stego image can be retrieved. Based on the results, the lower the number of participants, the better the PSNR value of the shared images. Although a more significant number of participants can make it harder to obtain the stego image, it lowers the imperceptibility of the shared images. From the experiment, we find that all shared images have PSNR values lower than 30 dB, and further research should focus on improving the quality of the share images.