143 research outputs found
THRIVE: Threshold Homomorphic encryption based secure and privacy preserving bIometric VErification system
In this paper, we propose a new biometric verification and template
protection system which we call the THRIVE system. The system includes novel
enrollment and authentication protocols based on threshold homomorphic
cryptosystem where the private key is shared between a user and the verifier.
In the THRIVE system, only encrypted binary biometric templates are stored in
the database and verification is performed via homomorphically randomized
templates, thus, original templates are never revealed during the
authentication stage. The THRIVE system is designed for the malicious model
where the cheating party may arbitrarily deviate from the protocol
specification. Since threshold homomorphic encryption scheme is used, a
malicious database owner cannot perform decryption on encrypted templates of
the users in the database. Therefore, security of the THRIVE system is enhanced
using a two-factor authentication scheme involving the user's private key and
the biometric data. We prove security and privacy preservation capability of
the proposed system in the simulation-based model with no assumption. The
proposed system is suitable for applications where the user does not want to
reveal her biometrics to the verifier in plain form but she needs to proof her
physical presence by using biometrics. The system can be used with any
biometric modality and biometric feature extraction scheme whose output
templates can be binarized. The overall connection time for the proposed THRIVE
system is estimated to be 336 ms on average for 256-bit biohash vectors on a
desktop PC running with quad-core 3.2 GHz CPUs at 10 Mbit/s up/down link
connection speed. Consequently, the proposed system can be efficiently used in
real life applications
Pseudo Identities Based on Fingerprint Characteristics
This paper presents the integrated project TURBINE which is funded under the EU 7th research framework programme. This research is a multi-disciplinary effort on privacy enhancing technology, combining innovative developments in cryptography and fingerprint recognition. The objective of this project is to provide a breakthrough in electronic authentication for various applications in the physical world and on the Internet. On the one hand it will provide secure identity verification thanks to fingerprint recognition. On the other hand it will reliably protect the biometric data through advanced cryptography technology. In concrete terms, it will provide the assurance that (i) the data used for the authentication, generated from the fingerprint, cannot be used to restore the original fingerprint sample, (ii) the individual will be able to create different "pseudo-identities" for different applications with the same fingerprint, whilst ensuring that these different identities (and hence the related personal data) cannot be linked to each other, and (iii) the individual is enabled to revoke an biometric identifier (pseudo-identity) for a given application in case it should not be used anymore
Security analysis of a fingerprint-secured USB drive
In response to user demands for mobile data security and maximum ease of use, fingerprint-secured mobile storage devices have been increasingly available for purchase. A fingerprint-secured Universal Serial Bus (USB) drive looks like a regular USB drive, except that it has an integrated optical scanner. When a fingerprint-secured USB drive is plugged into a computer running Windows, a program on this drive will run automatically to ask for fingerprint authentication. (When the program runs the very first time, it will ask for fingerprint enrollment). After a successful fingerprint authentication, a new private drive (for example, drive G:) will appear and data stored on the private drive can be accessed. This private drive will not appear if the fingerprint authentication fails. This thesis studies the security of a representative fingerprint-secured USB drive referred to by the pseudonym AliceDrive. Our results are two fold. First, through black-box reverse engineering and manipulation of binary code in a DLL, we bypassed AliceDriveās fingerprint authentication and accessed the private drive without actually presenting a valid fingerprint. Our attack is a class attack in that the modified DLL can be distributed to any naive user to bypass AliceDeviceās fingerprint authentication. Second, in our security analysis of AliceDrive, we recovered fingerprint reference templates from memory, which may make AliceDrive worse than a regular USB drive: when Alice loses her fingerprint-secured USB drive, she does not only lose her data, she also loses her fingerprints, which are difficult to recover as Aliceās fingerprints do not change much over a long period of time. In this thesis, we also explore details in integrating fuzzy vault schemes to enhance the security of AliceDrive
A hybrid biometric template protection algorithm in fingerprint biometric system
Biometric recognition has achieved a considerable popularity in recent years due its various properties and widespread application in various sectors. These include very top priority sectors like countries boundary security, military, space missions, banks etc. Due to these reasons the stealing of biometric information is a critical issue. To protect this user biometric template information there should be efficient biometric template transformation technique and thereby the privacy of user is preserved. Non-invertible transformation can keep the user template based transformed information maximum secure against the regeneration. But the performance of non-invertible template protection mechanism will be reduced by the increase in security. This limitation of non-invertible biometric transformation should be solved. This research aims to develop a hybrid biometric template protection algorithm to keep up a balance between security and performance in fingerprint biometric system. The hybrid biometric template protection algorithm is developed from the combination of non-invertible biometric transformation and biometric key generation techniques. To meet the research objective this proposed framework composed of three phases: First phase focus on the extraction of fingerprint minutiae and formation of vector table, while second phase focus on develop a hybrid biometric template protection algorithm and finally the third phase focus on evaluation of performance of the proposed algorithm
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