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Webinar Paolo Gasti "Secure Biometric Authentication Using Privacy-Preserving Cryptographic Protocols"

Prof. Paolo Gasti
Data dell'evento: 
Thursday, 17 November, 2022 - 16:00
B222 (webinar streaming)

The webinar has been organized for the IEEE SPS and the PhD in Cybersecurity. However, it is open to anyine interested in the topic.

It is held online and streamed in B222

Event details: https://signalprocessingsociety.org/newsletter/2022/11/sps-ifs-tc-webina...

As an authentication method, biometrics offer unparalleled convenience and security. With very little for users to remember and do, there is also very little that they can do incorrectly, thus limiting the attack surface of an authentication system. Unfortunately, biometrics also present a challenging privacy/security tradeoff: biometric data is the ultimate personally identifiable information (PII), and is highly regulated in various jurisdiction in Europe, Asia, and the United States. As a result, practical large-scale biometric deployments must take into account strong protection of the data they process. This talk will present recent advances in the area of cryptographic protocol applied to biometric recognition for the purpose of protecting biometric data during and after authentication. We will introduce various concepts around biometric authentication, such as biometric liveness and authentication error rates, and provide a general overview of modern cryptographic techniques designed to guarantee strong biometric privacy.

Bio sketch: Dr. Paolo Gasti received the Ph.D. degree in computer science from University of Genoa, Italy, in 2010. Since 2012, he has been an Associate Professor at the College of Engineering and Computing Sciences at the New York Institute of Technology (NYIT) in New York. His research focuses on behavioral biometrics, privacy-preserving biometric authentication and identification, secure multi-party protocols, and network security. His recent work includes protocols for secure privacy-preserving biometric authentication, genomic computation, privacy-preserving document similarity, secure document caching, and distributed denial-of-service detection and prevention in future Internet architectures. His research has been supported by the US Department of Defense (DARPA) and the National Science Foundation (NSF). Dr. Gasti was awarded a Fulbright Scholarship in 2007, under which he visited the Johns Hopkins University, Baltimore, MD. He is on the program committees of several prestigious security and biometrics conferences, including PETS, ACNS, IJCB, and BTAS.

gruppo di ricerca: 
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