报告简介:
信息安全是当今世界的一个重要课题。让信息"丢而不失",是众多密码专家的主要研究课题。然而加密本身往往暴露重要信息 的所在,从而引起怀疑并受到定点攻击。更高明一点,就是让第三者无法知道重要信息的存在。这就是信息隐藏技术(information hiding)。最近20多年来,信息隐藏受到极大重视,文献中也已经提出很多方法。现存方法主要是把信息存到某个覆盖图像(cover image)或其变换的低位码(LSB: least significant bits)里面。这样得到的图像成为隐秘图像(stego image)。为了确保隐藏技术的安全性,隐秘图像和覆盖图像从视觉上和统计规律上因该没有明显差别。然而随着隐藏解析技术的发展,这种方法越来越行不通 了。因为无论如何都有可能留下痕迹。为解决此问题,我们提出了基于图像合成的隐藏技术。主要思路是,发信方根据需要随时合成覆盖图像,把隐秘图像 传给收信方。收信方按照同样的方式合成同样的覆盖图像,然后从隐秘图像提取出秘密信息。覆盖图像同时起到覆盖和秘匙的作用。本报告将介绍这种信息 隐藏技术的基本思路,实现方法以及存在的问题。欢迎大家积极参加讨论。
报告人简介:
Dr. Qiangfu Zhao received the B.S. degree in Computer Science from Shandong University (China) in 1982; the M. Eng. degree in Information Engineering from Toyohashi University of Technology (Japan) in 1985; and D. Eng. degree in Electronic Engineering from Tohoku University (Japan), in 1988. He was an associate professor from 1991 to 1993 at Beijing Institute of Technology; associate professor from 1993 to 1995 at Tohoku University (Japan); associate professor from 1995 to 1999 at the University of Aizu (Japan); and tenure full professor since 1999 at the University of Aizu. Currently, he is the Head of System Intelligence Laboratory; Director of Computer Science Division; associate editor of IEEE Transactions on SMC-B; and associate editor of the International Journal of Machine Learning and Cybernetics. He is the founding co-chair of the Technical Committee on Awareness Computing in IEEE Systems, Man, and Cybernetics Society, and founding co-chair of the Task Force on Aware Computing in IEEE Computational Intelligence Society. He has initialized, organized or co-organized several international workshops/symposiums/conferences; edited or co-edited several journal special issues; and published more than 160 referred journal and international conference papers related to optimal linear system design, signal/image processing, neuro-computing, evolutionary computing, awareness computing, and machine learning.