Name
Abstract | ||
|---|---|---|
Concerns on widespread use of biometric authentication systems are primarily centered around template security, revocability, and privacy. The use of cryptographic primitives to bolster the authentication process can alleviate some of these concerns as shown by biometric cryptosystems. In this paper, we propose a provably secure and blind biometric authentication protocol, which addresses the concerns of user's privacy, template protection, and trust issues. The protocol is blind in the sense that it reveals only the identity, and no additional information about the user or the biometric to the authenticating server or vice-versa. As the protocol is based on asymmetric encryption of the biometric data, it captures the advantages of biometric authentication as well as the security of public key cryptography. The authentication protocol can run over public networks and provide nonrepudiable identity verification. The encryption also provides template protection, the ability to revoke enrolled templates, and alleviates the concerns on privacy in widespread use of biometrics. The proposed approach makes no restrictive assumptions on the biometric data and is hence applicable to multiple biometrics. Such a protocol has significant advantages over existing biometric cryptosystems, which use a biometric to secure a secret key, which in turn is used for authentication. We analyze the security of the protocol under various attack scenarios. Experimental results on four biometric datasets (face, iris, hand geometry, and fingerprint) show that carrying out the authentication in the encrypted domain does not affect the accuracy, while the encryption key acts as an additional layer of security. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TIFS.2010.2043188 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
secure crypto-biometric verification protocol,biometric cryptosystems,authentication protocol,authentication process,biometric data,widespread use,biometric authentication,biometric datasets,template protection,blind biometric authentication protocol,biometric authentication system,blind authentication,biometrics,privacy,bioinformatics,cryptosystems,public key cryptography,information security,security,provable security,support vector machine,artificial neural network,authentication,cryptographic protocols,data security,artificial neural networks | Hand geometry,Challenge-Handshake Authentication Protocol,Authentication,Cryptographic protocol,Computer security,Computer science,Encryption,Authentication protocol,Biometrics,Key (cryptography) | Journal |
Volume | Issue | ISSN |
5 | 2 | 1556-6013 |
Citations | PageRank | References |
7 | 0.46 | 34 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maneesh Upmanyu | 1 | 33 | 1.78 |
| Anoop M. Namboodiri | 2 | 255 | 26.36 |
| Kannan Srinathan | 3 | 422 | 41.70 |
| C. V. Jawahar | 4 | 1700 | 148.58 |