Biometric Template Storage With Blockchain: A First Look Into Cost and Performance Tradeoffs

Delgado-Mohatar, Oscar; Fiérrez, Julián; Tolosana, Rubén; Vera-Rodríguez, Rubén

doi:10.1109/cvprw.2019.00342

Cited by 27 publications

(12 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Delgado-Mohatar et al [24] presented the advantages and limitations of using blockchain in biometrics and vice versa. In continuation to the first work, Delgado-Mohatar et al [44] analysed the growth of biometric system based on blockchain. The authors mainly focused on storing the biometric templates in the blockchain by using on-chain, direct hashing and Merkle-trees.…”

Section: Blockchain For Biometricsmentioning

confidence: 99%

See 1 more Smart Citation

BMIAE: blockchain‐based multi‐instance Iris authentication using additive ElGamal homomorphic encryption

2020

View full text Add to dashboard Cite

Multi-biometric systems have been widely accepted in various applications due to its capability to solve the limitations of unimodal systems. Directly storing the biometric templates into a centralised server leads to privacy concerns. In the past few years, many biometric authentication systems based on homomorphic encryption have been introduced to provide security for the templates. Most of the existing solutions rely on an implication of the assumption that the server is 'honest-but-curious'. Therefore, the compromise of server results into the entire system vulnerability and fails to provide the integrity. To address this, we propose a novel multi-instance iris authentication system, BMIAE to deal with malicious attacks over the transmission channel and at the untrusted server. BMIAE encrypt the iris templates using ElGamal encryption to guarantee confidentiality and Smart contract running on a Blockchain helps to achieve the integrity of templates and matching result. BMIAE also addresses the limitations of using Blockchain for biometrics like privacy and expensive storage. To check the effectiveness and robustness, BMIAE has experimented on CASIA-V3-Interval, IITD and SDUMLA-HMT iris databases. Experimental results show that BMIAE provides improved accuracy, and eliminates the need to trust the centralised server when compared to the state-of-the-art approaches.

show abstract

Section: Blockchain For Biometricsmentioning

confidence: 99%

“…In continuation to the first work, Delgado‐Mohatar et al . [44] analysed the growth of biometric system based on blockchain. The authors mainly focused on storing the biometric templates in the blockchain by using on‐chain, direct hashing and Merkle‐trees.…”

Section: Related Workmentioning

confidence: 99%

BMIAE: blockchain‐based multi‐instance Iris authentication using additive ElGamal homomorphic encryption

2020

View full text Add to dashboard Cite

show abstract

“…Each string can specify a portion of the user's data to which third party viewers are allowed to access. Delgado-Mohatar et al explored practical tradeoff in blockchain-based biometric template storage [24]. They had recently experimentally studied the fundamental tradeoffs involved in the integration of Biometric (such as face and handwritten signatures) template storage with the Ethereum blockchain [25], including latency, processing time, gas cost and recognition rate.…”

Section: Related Workmentioning

confidence: 99%

“…As a result, the authors found that straightforward schemes for data storage in the blockchain may be prohibitive for biometric template storage using state-of-the-art biometric methods. Still, the system based on Merkle trees had an excellent cost-performance tradeoff; however, no specific security and privacy protection scheme other than digital signature and hashing has been considered in [24]. In this work, we try to provide a general security and privacy-preserving approach to blockchain-Oracle combined applications by using homomorphic encryption techniques.…”

Section: Related Workmentioning

confidence: 99%

An Oracle-Based On-Chain Privacy

Chen

Hsieh

et al. 2020

Computers

View full text Add to dashboard Cite

In this work, we demonstrate how the blockchain and the off-chain storage interact via Oracle-based mechanisms, which build an effective connection between a distributed database and real assets. For demonstration purposes, smart contracts were drawn up to deal with two different applications. Due to the characteristics of the blockchain, we may still encounter severe privacy issues, since the data stored on the blockchain are exposed to the public. The proposed scheme provides a general solution for resolving the above-mentioned privacy issue; that is, we try to protect the on-chain privacy of the sensitive data by using homomorphic encryption techniques. Specifically, we constructed a secure comparison protocol that can check the correctness of a logic function directly in the encrypted domain. By using the proposed access control contract and the secure comparison protocol, one can carry out sensitive data-dependent smart contract operations without revealing the data themselves.

show abstract

“…Therefore, encrypting the fingerprint template after pre-processing is essential before uploading it to IPFS. Data hashing technique by the IPFS is somewhat unsecured, because data can be retrieved if in possession of the hash [15]. Accordingly, by implementing the symmetric key; advanced encryption standard (AES) or any other encryption algorithm to files before uploading to the IPFS solves the issue of system viability when compromised by a malicious node or attacker is rectified.…”

Section: Introductionmentioning

confidence: 99%

Securing Fingerprint Template Using Blockchain and Distributed Storage System

et al. 2020

View full text Add to dashboard Cite

Biometrics, with its uniqueness to every individual, has been adapted as a security authentication feature by many institutions. These biometric data are processed into templates that are saved on databases, and a central authority centralizes and controls these databases. This form of storing biometric data, or in our case fingerprint template, is asymmetric and prone to three main security attacks, such as fake template input, template modification or deletion, and channel interception by a malicious attacker. In this paper, we secure an encrypted fingerprint template by a symmetric peer-to-peer network and symmetric encryption. The fingerprint is encrypted by the symmetric key algorithm: Advanced Encryption Standard (AES) algorithm and then is uploaded to a symmetrically distributed storage system, the InterPlanetary File system (IPFS). The hash of the templated is stored in a decentralized blockchain. The slow transaction speed of the blockchain has limited its use in real-life applications, such as large file storage, hence, the merge with IPFS to store just the hashes of large files. The encrypted template is uploaded to the IPFS, and its returned digest is stored on the Ethereum network. The implementation of IPFS prevents storing the raw state of the fingerprint template on the Ethereum network in order to reduce cost and also prevent identity theft. This procedure is an improvement of previous systems. By adopting the method of template hashing, the proposed system is cost-effective and efficient. The experimental results depict that the proposed system secures the fingerprint template by encryption, hashing, and decentralization.

show abstract

Biometric Template Storage With Blockchain: A First Look Into Cost and Performance Tradeoffs

Cited by 27 publications

References 17 publications

BMIAE: blockchain‐based multi‐instance Iris authentication using additive ElGamal homomorphic encryption

BMIAE: blockchain‐based multi‐instance Iris authentication using additive ElGamal homomorphic encryption

An Oracle-Based On-Chain Privacy

Securing Fingerprint Template Using Blockchain and Distributed Storage System

Contact Info

Product

Resources

About