Robust technique for fingerprint template protection

Abstract

Fingerprint authentication systems generally save data extracted from fingerprint as minutiae template in the database. However, it is often found that databases can be attacked and compromised by the adversary. So if minutiae points of a user are leaked, the fingerprint can be generated from them. The fingerprint cannot be changed as the finger is a part of the human body. Hence, securing information extracted from the fingerprint is required. In this study, the authors propose a highly secure technique that uses location information of the minutia points to construct a highly secured template for a user. For every minutia point, secured modified location is generated by using information of its neighbouring minutiae and a key-set. They have achieved 2, 1, and 3.1% equal error rate values for FVC2002 DB1, DB2, and DB3 fingerprint databases, respectively, under the same key scenario. Analysis done for several attacks shows that the proposed technique is very robust and secure. The experimental results are extremely encouraging and they demonstrate the efficiency of the proposed technique.

On the methodology of fingerprint template protection schemes conception : meditations on the reliability

“…The resulting templates provide great non-invertibility but are not discriminating enough to achieve a good accuracy performance. Recently, Ali et al [26] have put forward a secure transformation that takes the positional information of minutiae points to create a protected fingerprint template. For each minutiae point, a modified location is produced based on its neighboring minutiae information and the user key parameters.…”

Optimized Authentication System with High Security and Privacy

“…With various advantages biometric authentication has many challenges [22,33] as well. Various frameworks present in the literature for biometric template recognition and protection are mentioned below.…”

“…The fingerprint image is enhanced by Khan et al in [62] by using anisotropic Gaussian. Ali et al in [33] designed a technique in which secured fingerprint features are used, which has been further enhanced in [63]. Ali et al [6] have designed a secure 3-dimensional secured user template through the relocation of minutiae points.…”

“…It can also be used by light devices [20]. Nevertheless, there are many open issues where security is the prominent one related to fingerprint [21]. Multiple types of attacks are possible fingerprint-based biometrics, among which the compromising of the database is a disastrous one [22][23][24].…”

“…The compromised biometric data/features may have serious consequences and can lead to cross-matching attack [31,32]. As there are numerous issues related to fingerprint biometrics [33], there is a need for a highly secure fingerprint-based authentication method. Any secure biometric system is expected to depict the essential requirements [19,34] given below:…”