Brainprint: Next-Generation Psychophysiological Biometrics for Ultra-Secure Identity Authentication
报告人：Dr. Zhanpeng Jin
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 non-volitional components of the electroencephalogram (EEG) brainwave responses. By identifying reproducible, unique features of the EEG, we are developing a method to accurately recognize and authenticate people by extracting time-invariant and context-invariant "brainprints."This research holds the potential to transform existing authentication systems into more secure, disclosure-resistant solutions; critical for high-security applications. “Brainprint” has been reported by over 50 media outlets and named as one of the “future technology: 22 ideas about to change our world.”
Dr. Zhanpeng Jin is currently an Assistant Professor in Departments of Electrical and Computer Engineering, and Biomedical Engineering at the Binghamton University, State University of New York. 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 (2010). His research interests include brain biometrics, cognitive neuroscience, neuromorphic computing, mobile health, and low-power sensing. His research has been supported by National Science Foundation (NSF), Air Force Office of the Scientific Research (AFOSR), Air Force Research Laboratory (AFRL), SUNY Research Foundation, and a number of industrial companies. He is a senior member of IEEE.