主讲人：关勇 单位： IOWA STATE UNIVERSITY
讲座主题： Voice-print Identification and Hiding in VoIP Communications
摘要: Voice over IP (VoIP) is widely used in today’s communications, for example, Facebook Messenger, Whatsapp, Wechat, and Skype. VoIP converts analog voice signals into digital data frames, and supports real-time two-way transmission of conversations using Internet Protocol. Despite of the fact that VoIP technology have been greatly developed since the earliest design, there have been interesting work in Voice-print identification such as language identification and speaker identification that can disclose the identity or talk patterns of the VoIP users. In this talk, we’d like to discuss interesting observations about both lines of research (identification vs hiding) and their implications to forensics and online privacy. We then focus on a particular class of traffic analysis attack - timing- based correlation (namely, Dynamic Time Warping(DTW)), by which an adversary attempts to analyze packet inter-arrival time of a user and correlate the output traffic with the ones recorded previously in the database. By carefully taking known strategies in existing VoIP communications into consideration, we develop and evaluate methods that can effectively counter the timing-based correlation attacks, with a few modifications in the sending process. We will conclude with the research directions for future efforts。
讲座地点： 软件学院综合楼第一会议室
讲座时间：2016年12月26日（周一），9:00-10:30AM
国际合作与交流处
软件学院
主讲人简介：Dr. Yong Guan is an Associate Professor of Electrical and Computer Engineering, the Associate Director for Research of Information Assurance Center at Iowa State University, and Cyber Forensics Coordinator of NIST Center of Excellence in Forensics – CSAFE. He received his Ph.D. degree in Computer Science from Texas A&M University in 2002, MS and BS degrees in Computer Science from Peking University in 1996 and 1990, respectively. With the support of NSF, IARPA, NIST, and ARO, his research focuses on security and privacy issues, including digital forensics, network and human-centric security, and privacy-enhancing technologies. The resulted solutions have addressed issues in attack attribution, secure network coding, key management, localization, computer forensics, anonymity, and online frauds detection. He served as the general chair of 2008 IEEE Symposium on Security and Privacy (Oakland 2008, the top conference in security), co-organizer for ARO Workshop on Digital Forensics, the co-coordinator of Digital Forensics Working Group at NSA/DHS CAE Principals Meetings, and editor for IEEE transactions (TIFS, ToN, and TWC). Dr. Guan has been recognized by awards including NSF Career Award, ISU Award for Early Achievement in Research, the Litton Industries Professorship, and the Outstanding Community Service Award of IEEE Technical Committee on Security and Privacy.
