Performance Evaluation and Future Scope of Image Secret Sharing Schemes

Aaqib Anjum Reshi, S. A. Parah
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引用次数: 1

Abstract

Image secret sharing (ISS) has seen an immense growth in modern day world due to excess internet usability along with growing insecurity due to advanced attacks from the hackers. Secret sharing methods play a very important part in visual cryptography(VC) which began with introduction of “(k, n) threshold” scheme introduced by Shamir and Blakeley in 1979. In this scheme a secret is divided/encoded into ‘n’ shares or meaningless noisy images. The message to be hidden can only be constructed by stacking (combining with some logic) up at least ‘k’ number of shares/transparencies. Various advancements have happened in ISS with introduction of the “(k, n) threshold” based scheme to images. It has led to development of new schemes like probability based ISS, extended ISS, ISS using Cloud, and progressive ISS with perfect reconstruction capability or perfect data retrieval capability etc. These techniques are judged using the parameters like security robustness, pixel expansion and contrast of retrieved image. The ISS schemes can be made more robust and secure by integrating various features like introducing progressive ISS feature with Cloud and further increasing data payload by increasing ability to embed more data without decreasing the security and quality of retrieved original secret data. In this paper different ISS schemes have been surveyed and compared taking into consideration security, pixel expansion and contrast loss along with future scope of these techniques and application areas have also been discussed to get the scope of future research in the area.
图像秘密共享方案的性能评价及未来发展方向
图像秘密共享(ISS)在现代世界已经看到了巨大的增长,由于互联网的过度可用性以及由于黑客的高级攻击而增加的不安全性。从1979年Shamir和Blakeley提出的“(k, n)阈值”方案开始,秘密共享方法在视觉密码学(VC)中起着非常重要的作用。在这个方案中,一个秘密被分割/编码成“n”个共享或无意义的噪声图像。要隐藏的消息只能通过堆叠(结合一些逻辑)至少“k”个份额/透明度来构建。随着基于图像的“(k, n)阈值”方案的引入,ISS取得了各种进步。这导致了基于概率的国际空间站、扩展国际空间站、使用云的国际空间站、具有完善重建能力或完善数据检索能力的渐进式国际空间站等新方案的发展。利用图像的安全性、鲁棒性、像素扩展和对比度等参数对这些技术进行评价。通过集成各种特性,如在Cloud中引入渐进式ISS特性,以及在不降低检索原始秘密数据的安全性和质量的情况下,通过增加嵌入更多数据的能力,进一步增加数据负载,可以使ISS方案更加健壮和安全。本文对不同的ISS方案进行了调查和比较,考虑了安全性、像素扩展和对比度损失,并讨论了这些技术的未来范围和应用领域,以得到该领域未来的研究范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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