Secure Identity Verification
Event details
| Date | 13.09.2010 |
| Hour | 16:15 |
| Speaker | Dr. Anthony VETRO |
| Location | |
| Category | Conferences - Seminars |
Biometrics are an inherent link to our identity and useful for a number of applications including access control and online transactions. Keeping this information secure is a primary concern. However, biometric data is noisy and secure matching of this data poses new security challenges. This talk will examine two approaches for secure identity verification. The first scheme considers the application of distributed source coding techniques to cope with noisy biometric measurements. A Slepian-Wolf coding system is used to provide robust biometric verification for genuine users, while guarding against attacks from imposters. A formal quantification of the tradeoff between security and robustness is provided as a function of the Slepian-Wolf coding rate. The second approach addresses the same problem with privacy-preserving protocols for secure distance computations. These protocols exploit the properties of homomorphic encryption and are developed for a variety of functions including Hamming distance, L2-norm and L1-norm. The benefits and drawbacks of these two different approaches will also be discussed.
Practical information
- General public
- Free
Contact
- Pascal Frossard