CCS '99 Proceedings of the 6th ACM conference on Computer and communications security
Key management in a non-trusted distributed environment
Future Generation Computer Systems - Special issue on security on the Web
Authentication: from passwords to public keys
Authentication: from passwords to public keys
Cryptography and Network Security: Principles and Practice
Cryptography and Network Security: Principles and Practice
Computational Geometry: Theory and Applications
Secure smartcardbased fingerprint authentication
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Synthesis of Arithmetic Circuits: FPGA, ASIC and Embedded Systems
Synthesis of Arithmetic Circuits: FPGA, ASIC and Embedded Systems
Finding the original point set hidden among chaff
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Security enhancement on an improvement on two remote user authentication schemes using smart cards
Future Generation Computer Systems
Addressing cloud computing security issues
Future Generation Computer Systems
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Fingerprint-Based Fuzzy Vault: Implementation and Performance
IEEE Transactions on Information Forensics and Security
Editorial: Recent developments in high performance computing and security: An editorial
Future Generation Computer Systems
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Fuzzy vault is a scheme that complements traditional cryptographic security systems by combining it with biometric authentication to overcome the security vulnerability inherent in cryptographic key storage. Biometric encryption systems based on fuzzy vault scheme are suitable for stand-alone security and authentication devices in the form of system-on-chip (SoC). However, the current fuzzy vault scheme has too many compute-intensive processes to make this feasible for SoC implementation. The most critical but compute-intensive function in the fuzzy vault scheme is the chaff generation which produces noise (chaff) points that hide the valid points inside the vault template. In this paper, we propose a new chaff generation algorithm which is computationally fast and viable for hardware acceleration by employing simple arithmetic operations. Complexity study shows that our algorithm has a complexity of O(n^2), which is a significant improvement over the existing method that exhibits O(n^3) complexity. Our experimental results show that, to generate 500 chaff points, the proposed algorithm gives a performance speed-up of over 140 times over existing Clancy's algorithm. With the new chaff generation algorithm, it becomes much more amenable to implement the fuzzy vault scheme in the resource-constrained environment of system-on-chip.