Name
Abstract | ||
|---|---|---|
Fuzzy vault is one of the biometric cryptosystems that allows the cryptographic keys to be securely maintained depending on the biometric information. In last years, a development of this method is approached significantly to enhance the security level, reduce the flaws and accelerate the computational process. One of the important function in the fuzzy vault system is chaff point generator. Chaff points are produced to disguise the genuine points using a random or nonrandom generator. This function has a trade-off, it can become security flaws or compute-intensive process. In this paper, we propose a method to make a non-random chaff point generator for fuzzy vault by combining idea between M.T. Nguyen's algorithm and M.K. Hani's algorithm. In our experiment, we use fingerprint minutiae as a biometric information in the proposed biometric cryptosystems. With this method, the fuzzy vault not only computationally fast but also secure. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICSEngT.2016.7849650 | 2016 6th International Conference on System Engineering and Technology (ICSET) |
Keywords | Field | DocType |
Biometric,Encryption,Fuzzy vault,Fingerprint authentication,Chaff generation | Data mining,Authentication,Cryptography,Computer science,Fingerprint recognition,Chaff,Encryption,Theoretical computer science,Artificial intelligence,Key (cryptography),Computer vision,Feature extraction,Biometrics | Conference |
ISSN | ISBN | Citations |
2470-640X | 978-1-5090-5090-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Annisa Istiqomah Arrahmah | 1 | 0 | 0.34 |
| Yudi S. Gondokaryono | 2 | 0 | 1.01 |
| Kyung Hyune Rhee | 3 | 208 | 36.45 |