A New Scheme for Lossless Meaningful Visual Secret Sharing by using XOR Properties | ||
| Journal of AI and Data Mining | ||
| دوره 11، شماره 2، تیر 2023، صفحه 195-211 اصل مقاله (2.36 M) | ||
| نوع مقاله: Original/Review Paper | ||
| شناسه دیجیتال (DOI): 10.22044/jadm.2023.12460.2395 | ||
| نویسندگان | ||
| Z. Mehrnahad1؛ A.M. Latif* 1؛ J. Zarepour Ahmadabadi2 | ||
| 1Department of Computer Eengineering, Yazd University, Yazd, Iran. | ||
| 2Department of Computer Science, Yazd University, Yazd, Iran. | ||
| چکیده | ||
| In this paper, a novel scheme for lossless meaningful visual secret sharing using XOR properties is presented. In the first step, genetic algorithm with an appropriate proposed objective function created noisy share images. These images do not contain any information about the input secret image and the secret image is fully recovered by stacking them together. Because of attacks on image transmission, a new approach for construction of meaningful shares by the properties of XOR is proposed. In recovery scheme, the input secret image is fully recovered by an efficient XOR operation. The proposed method is evaluated using PSNR, MSE and BCR criteria. The experimental results presents good outcome compared with other methods in both quality of share images and recovered image. | ||
| کلیدواژهها | ||
| Secret sharing؛ Visual secret sharing؛ Meaningful secret sharing؛ Genetic algorithm | ||
| مراجع | ||
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