A Verifiable-Visual Cryptography Scheme Using Neural Networks

摘要：

　　This paper proposes a new verifiable visual cryptography scheme for general access structures using pisigma neural networks (VVCSPSN),which is based on probabilistic signature scheme (PSS),which is considered as security and effective verification method.Compared to other high-order networks,PSN has a highly regular structure,needs a much smaller number of weights and less training time.Using PSNs capability of large-scale parallel classification,VCSPSN reduces the information communication rate greatly,makes best known upper bound polynomial,and distinguishes the deferent information in secret image.

关键词： Pi-sigma neural networks visual cryptography general access structure

作者: Deng Yuqiao Song Ge

作者单位: Guangdong University of Business Studies, Mathematics and Computer Science College Guangzhou, China Harbin Institute of Technology Shenzhen Graduate School Shenzhen, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 113-116

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）