2017-09-04
浏览次数：1381时间：2017年9月4号（星期一）下午2:30-4:00 地点：逸夫科学馆214会议室 报告人：Zhanpeng Jin(靳战鹏)副教授 报告题目：From Brain Biometrics to Brain Hacking: Convergence of Neuroscience and Cyber Technology 报告摘要: Cryptographic systems often rely on the secrecy of cryptographic credentials; however, these are vulnerable to eavesdropping and can resist neither a user's intentional disclosure nor coercion attacks where the user is forced to reveal the credentials. Conventional biometric keys (e.g., fingerprint, iris, etc.), unfortunately, can still be surreptitiously duplicated or adversely revealed. To this end, we argue that the most secure cryptographic credentials are ones of which the users aren't even aware. On the basis of this argument, our research seeks to investigate a new psychophysiological approach for secure and trustworthy user authentication via reproducible, unique, non-volitional components of the electroencephalogram (EEG) brainwave responses, named brainprints. Moreover, we systematically evaluate how robust the cognitive brainprinting is to various cyber-attacks, particularly psychological and computational vulnerabilities. The preliminary results have proved the resistance of the brainprint authentication system to brainwave entrainment and impersonation. This research holds the potential to transform existing authentication systems into more secure, disclosure-resistant solutions; critical for high-security applications, as well as to strengthen our understanding of the unique cognitive and psychological secret of the human brain. “Brainprint” research has been reported by over 50 media outlets and named as one of the “future technology: 22 ideas about to change our world.” 报告人简介:
Dr. Zhanpeng Jin is an Associate Professor in Departments of Electrical and Computer Engineering, and Biomedical Engineering, and Director of Cyber-Med Lab at State University of New York at Binghamton. Prior to joining SUNY-Binghamton, He was a Postdoctoral Research Associate at the University of Illinois at Urbana-Champaign (UIUC) and received his Ph.D. degree in Electrical Engineering at the University of Pittsburgh. His research interests include emerging biometrics, cognitive neuroscience, cyber-physical security, neuromorphic computing, mobile health, and low-power sensing. He has served as the Associate Editor for the journals of Computers and Electrical Engineering, Computers in Biology and Medicine, and BioMedical Engineering Online, as well as served on the Editorial Boards for four international journals and on the Technical Committees for many conferences and . He received the BU Watson Early-Stage Distinguished Research Award in 2017, ECE Outstanding Faculty Researcher Award in 2015, Best Paper Award in BHI’17, and Best Paper Award Nominee in ASP-DAC’17. His research has been supported by NSF, AFOSR, AFRL, SUNY Research Foundation, and a number of industrial companies. He is a senior member of IEEE. 靳战鹏博士，现任纽约州立大学宾汉姆顿分校（SUNY-Binghamton）电子与计算机工程系和生物工程系副教授。在加入SUNY之前，曾在伊利诺伊大学香槟分校（UIUC）任博士后研究员。2010年于美国匹兹堡大学电子与计算机工程系获博士学位，此前分别于2006年和2003年在西北工业大学计算机学院取得硕士和学士学位，师从中科院院士，著名计算机专家沈绪榜教授。曾任美国空军研究实验室访问学者。其目前主要研究兴趣包括大脑生物识别，认知神经科学，神经形态计算，以及面向生物医学应用的移动和可穿戴计算。已在国际国内期刊和会议中发表论文80余篇。他是Elsevier 《Computers and Electrical Engineering》和《Computers in Biology and Medicine》，以及《BioMedical Engineering Online》等期刊的副主编，以及其他四份国际期刊的编委，同时担任20余个国际期刊和会议的审稿人或技术委员会委员。其曾荣获宾汉姆顿大学工学院青年教授卓越研究奖（Early-State Distinguished Research Award, 2017），杰出研究奖（Outstanding Faculty Researcher Award, 2015）,IEEE 生物医学与健康信息国际会议最佳论文（BHI Best Paper Award, 2017），及亚太设计自动化会议最佳论文提名（ASP-DAC Best Paper Award Nominee, 2017）。其目前的研究得到了美国国家科学基金（NSF），空军科学研究部(AFOSR)，空军研究实验室（AFRL），纽约州立大学研究基金（SUNY Research Foundation）,施乐研究中心(Xerox Research)，亚德诺半导体（Analog Devices）的资助。他是IEEE的高级会员。 |
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