Securing Encrypted Biometric Authentication With Multi-Factor Liveness Detection And One Time Passwords

Basic Multi-biometric Authentication System was thought to have sealed the vulnerabilities and escape route from cyber criminals, but emerging attack patterns have proved us wrong. In spite of their benefits, multi-biometric systems also have peculiar challenges especially circumvention of security strategy. Circumvention refers to how susceptible the system or the presented biometric trait is to spoof attacks and identity fraud. Liveness detection has long been applied as an anti-spoofing mechanism to checkmate spoofing, however its application approach has thrown up more vulnerabilities. We have adopted the Structured Systems Analysis and Design Methodology (SSADM) to assist us understand the weaknesses and propose a solution which integrates liveness detection to halt spoofing. In this seminar, we present a different approach to performing liveness detection in multi-biometric systems to significantly minimize the probability of circumvention and considerably strengthen the overall security strategy of the authentication process.

Kenneth Okereafor
Kenneth Okereafor is a Ph.D student of the University of Azteca, Mexico. His doctoral research focuses on Multi-biometric liveness detection. With over 18 years’ professional IT experience, he currently works with the Nigerian National Health Insurance Scheme (NHIS) as Assistant Director of Network Security and has facilitated several International presentations in Cybersecurity. A multiple recipient of the United Nations Cybersecurity Scholarship award under the ITU Global Cybersecurity Agenda, Kenneth has a combined background in Electrical & Electronics Engineering, and Computer Information Systems Security, with special interests in biometric security, electronic communications, and digital forensics. He is a certified Network Security Specialist.
106, Conference room
5/4/16 2:00 PM