Multi-Biometric Fuzzy Vault based on Face and Fingerprints

• URL: http://arxiv.org/abs/2301.06882v1
• Date: Tue, 17 Jan 2023 13:39:12 GMT
• Title: Multi-Biometric Fuzzy Vault based on Face and Fingerprints
• Authors: Christian Rathgeb and Benjamin Tams and Johannes Merkle and Vanessa Nesterowicz and Ulrike Korte and Matthias Neu
• Abstract summary: fuzzy vault scheme has been established as cryptographic primitive suitable for privacy-preserving biometric authentication. We construct a multi-biometric fuzzy vault based on face and multiple fingerprints.
• Score: 3.6934118484548306
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The fuzzy vault scheme has been established as cryptographic primitive suitable for privacy-preserving biometric authentication. To improve accuracy and privacy protection, biometric information of multiple characteristics can be fused at feature level prior to locking it in a fuzzy vault. We construct a multi-biometric fuzzy vault based on face and multiple fingerprints. On a multi-biometric database constructed from the FRGCv2 face and the MCYT-100 fingerprint databases, a perfect recognition accuracy is achieved at a false accept security above 30 bits. Further, we provide a formalisation of feature-level fusion in multi-biometric fuzzy vaults, on the basis of which relevant security issues are elaborated. Said security issues, for which we define countermeasures, are commonly ignored and may impair the overall system's security.

Related papers

• Privacy-preserving Multi-biometric Indexing based on Frequent Binary Patterns [7.092869001331781]
  We propose an efficient privacy-preserving multi-biometric identification system that retrieves protected deep cancelable templates. A multi-biometric binning scheme is designed to exploit the low intra-class variation properties contained in the frequent binary patterns extracted from different types of biometric characteristics.
  arXiv  Detail & Related papers  (2023-10-04T18:18:24Z)
• Secure and Privacy Preserving Proxy Biometrics Identities [25.272389610447856]
  This work proposes a novel approach for generating new artificial fingerprints also called proxy fingerprints. These proxy biometrics can be generated from original ones only with the help of a user-specific key. Using the proposed approach a proxy dataset is generated from samples belonging to Anguli fingerprint database. Matching experiments were performed on the new set which is 5 times larger than the original, and it was found that their performance is at par with 0 FAR and 0 FRR in the stolen key, safe key scenarios.
  arXiv  Detail & Related papers  (2022-12-21T07:02:11Z)
• Face Presentation Attack Detection [59.05779913403134]
  Face recognition technology has been widely used in daily interactive applications such as checking-in and mobile payment. However, its vulnerability to presentation attacks (PAs) limits its reliable use in ultra-secure applicational scenarios.
  arXiv  Detail & Related papers  (2022-12-07T14:51:17Z)
• Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection [106.5308793283895]
  fingerprint leakage from social media raises a strong desire for anonymizing shared images. To guard the fingerprint leakage, adversarial attack emerges as a solution by adding imperceptible perturbations on images. We propose FingerSafe, a hierarchical perceptual protective noise injection framework to address the mentioned problems.
  arXiv  Detail & Related papers  (2022-08-23T02:20:46Z)
• Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond [57.10914865054868]
  We consider vertical logistic regression (VLR) trained with mini-batch descent gradient. We provide a comprehensive and rigorous privacy analysis of VLR in a class of open-source Federated Learning frameworks.
  arXiv  Detail & Related papers  (2022-07-19T05:47:30Z)
• Encryption and encoding of facial images into quick response and high capacity color 2d code for biometric passport security system [0.0]
  multimodal biometric, secure encrypted data and encrypted biometric encoded into the QR code-based biometric-passport authentication method is proposed. The facial mark size recognition is initially achieved. The encrypted biometric passport information that is publicly accessible is encoded into the QR code and inserted into the electronic passport to improve protection.
  arXiv  Detail & Related papers  (2022-03-17T05:25:39Z)
• Mobile Behavioral Biometrics for Passive Authentication [65.94403066225384]
  This work carries out a comparative analysis of unimodal and multimodal behavioral biometric traits. Experiments are performed over HuMIdb, one of the largest and most comprehensive freely available mobile user interaction databases. In our experiments, the most discriminative background sensor is the magnetometer, whereas among touch tasks the best results are achieved with keystroke.
  arXiv  Detail & Related papers  (2022-03-14T17:05:59Z)
• Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms [58.156733807470395]
  This paper reports a benchmarking study carried out within the framework of the BioSecure DS2 (Access Control) evaluation campaign. The campaign targeted the application of physical access control in a medium-size establishment with some 500 persons. To the best of our knowledge, this is the first attempt to benchmark quality-based multimodal fusion algorithms.
  arXiv  Detail & Related papers  (2021-11-17T13:39:48Z)
• Biometrics: Trust, but Verify [49.9641823975828]
  Biometric recognition has exploded into a plethora of different applications around the globe. There are a number of outstanding problems and concerns pertaining to the various sub-modules of biometric recognition systems.
  arXiv  Detail & Related papers  (2021-05-14T03:07:25Z)
• Deep Hashing for Secure Multimodal Biometrics [1.7188280334580195]
  We present a framework for feature-level fusion that generates a secure multimodal template from each user's face and iris biometrics. We employ a hybrid secure architecture by combining cancelable biometrics with secure sketch techniques. The proposed approach also provides cancelability and unlinkability of the templates along with improved privacy of the biometric data.
  arXiv  Detail & Related papers  (2020-12-29T14:15:05Z)
• Analyze and Development System with Multiple Biometric Identification [0.0]
  Methods developed earlier to ensure personal the information from the thefts was not effective and safe. Biometrics were introduced when it was needed technology for more efficient security of personal information. In biometric authentication system, user may not remember any passwords or carry any keys.
  arXiv  Detail & Related papers  (2020-04-10T05:08:54Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.