: 2017年5月12日（周五）上午10：00
: 校本部东区翔英大楼516室
讲座: 基于电网频率的多媒体数字取证
演讲者: 新加坡南洋理工大学 华光 教授
演讲者简介：Guang Hua received the B.Eng. degree in communication engineering from Wuhan University, China, in 2009, and the M.Sc. degree in signal processing and the Ph.D. degree in information engineering from Nanyang Technological University, Singapore, in 2010 and 2014, respectively. From July 2013 to November 2015, he was a Research Scientist with the Department of Cyber Security and Intelligence, Institute for Infocomm Research, Singapore. After that, he joined the School of Electrical and Electronic Engineering, Nanyang Technological University, as a research fellow. Dr Hua has a strong background in digital signal processing, especially for the processing of acoustic, radar, and multimedia signals, which cover a
wide area of research interests including array beamforming, MIMO, digital filter design, applied convex optimization, data hiding, and multimedia forensics applications. He has first authored more than 10 highly ranked IEEE journal and conference papers. Dr Hua holds one Singapore patent.
讲座摘要：
The advancements of digital and computer technologies have created today’s highly connected world in which a huge and fast-increasing volume of multimedia content is flying through cyberspace to reach millions of end users. The ubiquity of digital data acquisition devices has brought new challenges to forensic analysts, which has led to increasing research attention in the area of digital forensics. A typical example could be the need for the verification and authentication of evidences obtained in digital forms (image, audio, video, etc.). Electric network frequency (ENF), which is the power line transmission frequency, could be captured by audio recording in the proximity of power mains or by video recording capturing A/C powered lights, and used as a promising forensic criterion. In digital forensic applications, the timestamp of a questioned audio or video recording could be verified by extracting the captured ENF signal and matching it with an ENF database, and the recording could also be examined to find whether it has been tampered with by ENF analysis. In this
talk, we review the research and development history of ENF based forensic analysis, present our recent research outcomes on both timestamp verification and tampering detection, and discuss current limitations and possible future works about this subject.
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