个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:软件学院、大连理工大学-立命馆大学国际信息与软件学院副院长
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:软件工程. 计算机应用技术
联系方式:guocheng@dlut.edu.cn
电子邮箱:guocheng@dlut.edu.cn
A novel weighted threshold secret image sharing scheme
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论文类型:期刊论文
发表时间:2015-11-25
发表刊物:SECURITY AND COMMUNICATION NETWORKS
收录刊物:SCIE、Scopus
卷号:8
期号:17
页面范围:3083-3093
ISSN号:1939-0114
关键字:weighted threshold; distortion-free; secret image sharing; access structure
摘要:In traditional secret image sharing schemes, the participants have the same status, and shadow images are of approximately equal importance, which cannot satisfy some special requirements in real situations. In this paper, we considered the problem of secret image sharing with the weighted threshold access structure, which means different participants can have different status and significance. With this approach, each shadow image has one weight, and the secret image can be reconstructed losslessly if, and only if, the sum of all of the shadow images' weights is no less than the given weight threshold. In our scheme, we constructed the weighted threshold access structure of shadow images using the weighted threshold secret sharing scheme. Then, we used the quantization operation to embed the secret image's information into a host image to generate shadow images with different weights. In the retrieving procedure, a set of shadow images that satisfied the weighted threshold was utilized to restore the distortion-free secret image. Our experimental results confirmed that the proposed scheme was feasible, and both the visual quality of the shadow images and the embedding capacity of the host images were satisfactory. Copyright (c) 2015 John Wiley & Sons, Ltd.