A Novel Length-Flexible Lightweight Cancelable Fingerprint Template for Privacy-Preserving Authentication Systems in Resource-Constrained IoT Applications

Abstract

Fingerprint authentication techniques have been employed in various Internet of Things (IoT) applications for access control to protect private data, but raw fingerprint template leakage in unprotected IoT applications may render the authentication system insecure. Cancelable fingerprint templates can effectively prevent privacy breaches and provide strong protection to the original templates. However, to suit resource-constrained IoT devices, oversimplified templates would compromise authentication performance significantly. In addition, the length of existing cancelable fingerprint templates is usually fixed, making them difficult to be deployed in various memory-limited IoT devices. To address these issues, we propose a novel length-flexible lightweight cancelable fingerprint template for privacy-preserving authentication systems in various resource-constrained IoT applications. The proposed cancelable template design primarily consists of two components: 1) length-flexible partial-cancelable feature generation based on the designed re-indexing scheme; and 2) lightweight cancelable feature generation based on the designed encoding-nesteddifference-XOR scheme. Comprehensive experimental results on public databases FVC2002 DB1-DB4 and FVC2004 DB1-DB4 demonstrate that the proposed cancelable fingerprint template achieves equivalent authentication performance to state-of-theart methods in IoT environments, but our design substantially reduces template storage space and computational cost. More importantly, the proposed length-flexible lightweight cancelable template is suitable for a variety of commercial smart cards (e.g., C5-M.O.S.T. Card Contact Microprocessor Smart Cards CLXSU064KC5). To the best of our knowledge, the proposed method is the first length-flexible lightweight, high-performing cancelable fingerprint template design for resource-constrained IoT applications.

Research on Fingerprint Image Differential Privacy Protection Publishing Method Based on Wavelet Transform and Singular Value Decomposition Technology

“…Definition 3: Global sensitivity: The global sensitivity can be expressed by (3), where Q represents any query function and :…”

“…The fingerprint image is obtained and the fingerprint feature information is extracted by the attacker, and the fake fingerprint and synthetic fingerprint can be produced by the fingerprint feature information. Fake fingerprint and synthetic fingerprint are the methods of forging or synthesizing fingerprint models by various means to cheat fingerprint identification system [3].…”

Designing Anonymous Signature-Based Identity Authentication Scheme for Ocean Multilevel Transmission

“…In order to solve the problem of multi-level data transmission security, Aman et al [28] proposed a multi-hop indirect data transmission method to complete the whole communication process with the help of other auxiliary devices, as well as to complete the authentication of identity between devices based on PUF. In order to protect data privacy, Yin et al [29] adopted fingerprint authentication technique to solve the privacy leakage problem and proposed a lightweight fingerprint template with variable length to help resourceconstrained devices with data privacy protection. However, this scheme has limited application scenarios and is difficult to meet the communication authentication between devices.…”

An In Depth Survey on Biometric ATM Handling through Fingerprint and Face Recognition using Deep Learning

“…X. Yin el al. [13] System presented a lightweight, length-flexible fingerprint template design in this article for privacy-preserving authentication systems in resource-constrained Internet of Things applications. There are two parts to the suggested template design: 1) Lightweight cancellable feature creation based on the encoding-nested-difference OR method, and 2) length-flexible partialcancellable feature generation based on the reinedxing approach.…”