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CESG Teleseminar: From Brain Biometrics to Brain Hacking: Convergence of Neuroscience and Cyber Technology

March 23 @ 3:00 pm - 4:00 pm

Zhanpeng Jin Department of ECE, Binghamton University Room 333 Wisenbaker Engineering Building (fishbowl)   Abstract: 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.”   Bio: Dr. Zhanpeng Jin is an Assistant 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 Technical Committees for many conferences. He received the BU 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.

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