Nowadays, the crypto-biometric schemes are commonly studied to deal with the key management problem existing in cryptographic systems. In the paper we consider a well-known fuzzy vault scheme working on non-standard biometric data associated with palm-oriented gestures. We discuss the usefulness of the touch-less palm tracking system focused on handling the biomechanical characteristics of one's hand to protect the cryptographic key or other secret data. As a behavioral template the fixed finger-based gesture is applied. In order to generate unordered sets for fuzzy vault we use the global approach where features are decoded from fingertip position and velocity. Both the raw and DCT-calculated time series are preprocessed to solve the instability and variability problem strictly related to behavioral character of the data. We provide the experimental results and discuss the security issues.
['Marcin Piekarczyk', 'Marek R. Ogiela']
Usability of the Fuzzy Vault Scheme Applied to Predetermined Palm-Based Gestures as a Secure Behavioral Lock