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DTSTART:20221030T030000
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UID:calendar.24945.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260412T004048Z
CREATED:20221115T222045Z
DESCRIPTION: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 i
 s held online and streamed in B222Event details: https://signalprocessings
 ociety.org/newsletter/2022/11/sps-ifs-tc-webinar-17-november-2022-presente
 d-dr-paolo-gastiAbstract:As an authentication method\, biometrics offer un
 paralleled convenience and security. With very little for users to remembe
 r and do\, there is also very little that they can do incorrectly\, thus l
 imiting the attack surface of an authentication system. Unfortunately\, bi
 ometrics also present a challenging privacy/security tradeoff: biometric d
 ata is the ultimate personally identifiable information (PII)\, and is hig
 hly regulated in various jurisdiction in Europe\, Asia\, and the United St
 ates. As a result\, practical large-scale biometric deployments must take 
 into account strong protection of the data they process. This talk will pr
 esent recent advances in the area of cryptographic protocol applied to bio
 metric 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 rate
 s\, and provide a general overview of modern cryptographic techniques desi
 gned to guarantee strong biometric privacy.Biography:Bio sketch: Dr. Paolo
  Gasti received the Ph.D. degree in computer science from University of Ge
 noa\, Italy\, in 2010. Since 2012\, he has been an Associate Professor at 
 the College of Engineering and Computing Sciences at the New York Institut
 e of Technology (NYIT) in New York. His research focuses on behavioral bio
 metrics\, privacy-preserving biometric authentication and identification\,
  secure multi-party protocols\, and network security. His recent work incl
 udes protocols for secure privacy-preserving biometric authentication\, ge
 nomic computation\, privacy-preserving document similarity\, secure docume
 nt 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). D
 r. Gasti was awarded a Fulbright Scholarship in 2007\, under which he visi
 ted the Johns Hopkins University\, Baltimore\, MD. He is on the program co
 mmittees of several prestigious security and biometrics conferences\, incl
 uding PETS\, ACNS\, IJCB\, and BTAS.
DTSTART;TZID=Europe/Paris:20221117T160000
DTEND;TZID=Europe/Paris:20221117T160000
LAST-MODIFIED:20221116T144534Z
LOCATION:B222 (webinar streaming)
SUMMARY:Webinar Paolo Gasti 'Secure Biometric Authentication Using Privacy-
 Preserving Cryptographic Protocols' - Prof. Paolo Gasti
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/24945
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