将秘密图像共享应用于经济学

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Digital Crime and Forensics Pub Date : 2021-07-01 DOI:10.4018/IJDCF.20210701.OA2
Xuemei Zhao, Tongtong Zhang, Jun Liu, Canju Lu, Huang Lu, Xuehu Yan
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引用次数: 1

摘要

经济学也存在一定的局限性,如多方经济投资决策不安全、企业报价泄漏等。(k, n)阈值的秘密图像共享(SIS)是一种通过将图像分割成n个阴影来保护图像的技术,又称阴影图像或共享,分配给n个相应的参与者。秘密图像可以通过获得k个或更多的阴影来披露。基于多项式的SIS和可视化秘密共享(VSS)是主要的研究方向。本文首先分析了经济学中的不安全问题,然后介绍了两种应用典型SIS方案提高经济安全性的方法。最后通过实验验证了该方法的有效性。
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Applying Secret Image Sharing to Economics
Economics has some limitations, such as insecure multiple parties economical investment decision and leakage of business quotation. Secret image sharing (SIS) for (k, n)-threshold is such a technique that protects an image through splitting it into n shadows, a.k.a. shadow images or shares, assigned to n corresponding participants. The secret image can be disclosed by obtaining k or more shadows. Polynomial-based SIS and visual secret sharing (VSS) are the chief research branches. This paper first analyzes the insecure issues in economics and then introduces two methods to apply typical SIS schemes to improve economical security. Finally, experiments are realized to illustrate the efficiency of the methods.
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来源期刊
International Journal of Digital Crime and Forensics
International Journal of Digital Crime and Forensics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
15
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