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发布时间: 2017-09-20 16:35 访问人数:

报告人:Anthony T.S. Ho教授

报告题目:

Applications of Multimedia Security and Forensic Techniques for Secure Communication, Protection and Detection of Data Content

时 间:2017年9月20日

地 点:北一楼205会议室

报告人学术成就简介:

Professor Anthony (Tony) T.S. Ho holds a Personal Chair in Multimedia Security and served as Head of Department of Computer Science, University of Surrey from 2010 to 2015. Tony was the recipient of the prestigious Institution of Engineering and Technology (IET) Innovation in Engineering Award under the Security category for his research and commercialization work on digital watermarking in 2006.Tony obtained his BSc (Hons) in Physical Electronics from Northumbria University in 1979, his MSc in Applied Optics from Imperial College London in 1980 and his PhD in Digital Image Processing from King's College London, University of London in 1983. Tony was a Senior Lecturer and then Associate Professor at Nanyang Technological University (NTU), Singapore. He has published more than 150 articles in international journals and conference proceedings as well as 8 international patents granted related to watermarking and steganography. Tony is Founding Editor-in-Chief of the International Journal of Information Security and Applications (JISA) and an Area Editor for Signal Processing: Image Communication, both published by Elsevier.

报告简介:

The tremendous growth of advanced telecommunication and Internet technologies in the past two decades has led to the proliferation of multimedia content for digital transmission and storage. The talk will give an overview of the convergence of technologies in the information forensics and security domain such as data hiding techniques and their applications to digital images. For example, image steganography for secure communication of secret messages via an open channel, and digital watermarking for protection and authentication of content integrity. Finally, the talk will also introduce forensic techniques for identification and forgery detection of images (including biometric data), as well as detection of anomalies in keystroke, network traffic and EEG data based on the application ofBenford’sLaw.

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