報告簡介:
信息安全是當今世界的一個重要課題。讓信息"丢而不失",是衆多密碼專家的主要研究課題。然而加密本身往往暴露重要信息 的所在,從而引起懷疑并受到定點攻擊。更高明一點,就是讓第三者無法知道重要信息的存在。這就是信息隐藏技術(information hiding)。最近20多年來,信息隐藏受到極大重視,文獻中也已經提出很多方法。現存方法主要是把信息存到某個覆蓋圖像(cover image)或其變換的低位碼(LSB: least significant bits)裡面。這樣得到的圖像成為隐秘圖像(stego image)。為了确保隐藏技術的安全性,隐秘圖像和覆蓋圖像從視覺上和統計規律上因該沒有明顯差别。然而随着隐藏解析技術的發展,這種方法越來越行不通 了。因為無論如何都有可能留下痕迹。為解決此問題,我們提出了基于圖像合成的隐藏技術。主要思路是,發信方根據需要随時合成覆蓋圖像,把隐秘圖像 傳給收信方。收信方按照同樣的方式合成同樣的覆蓋圖像,然後從隐秘圖像提取出秘密信息。覆蓋圖像同時起到覆蓋和秘匙的作用。本報告将介紹這種信息 隐藏技術的基本思路,實現方法以及存在的問題。歡迎大家積極參加讨論。
報告人簡介:
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.