个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:Director of Academic Committee at Kaifa District
其他任职:开发区校区学术分委员会主任(Director of Academic Committee at Kaifa Campus)
性别:男
毕业院校:多伦多大学
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. 运筹学与控制论
办公地点:开发区(Kaifa District Campus)
联系方式:mingchul@dlut.edu.cn
电子邮箱:mingchul@dlut.edu.cn
(t, n) Threshold secret image sharing scheme with adversary structure
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论文类型:期刊论文
发表时间:2017-10-01
发表刊物:MULTIMEDIA TOOLS AND APPLICATIONS
收录刊物:Scopus、SCIE、EI
卷号:76
期号:20
页面范围:21193-21210
ISSN号:1380-7501
关键字:Adversary structure; Secret image sharing; (t, n) threshold; Distortion free
摘要:Secret image sharing has been researched intensively, and it has emerged as an alternative to data hiding for protecting the security and privacy of important data. In the traditional (t, n) threshold secret image sharing schemes, any t or more shadow images can reconstruct the shared secret image. However, in real applications, (t, n) threshold access structures cannot meet all of the requirements, such as the adversary structure, which means that unauthorized groups of participants cannot reconstruct the shared secret. Thus, in (t, n) threshold secret sharing with adversary structure, t participants who want to reconstruct the secret cannot do so if they happen to belong to the defined adversary structure. This novel characteristic has the potential to work in many applications. However, the existing secret image sharing mechanisms cannot achieve the adversary structure. To solve this problem, we proposed a secret image sharing scheme that can achieve the adversary structure. In addition, our scheme also is a (t, n) threshold secret image sharing scheme. That is, t or more shadow images can be used to reconstruct the secret image, but some subsets that contain at least t shadow images among the adversary structures cannot reconstruct the secret image. The experimental results showed that the validity of our scheme is satisfactory.