A New Framework for Match on Card and Match on Host Quality Based Multimodal Biometric Authentication

Sabri, Mohammad; Moin, Mohammad Shahram; Razzazi, Farbod

doi:10.1007/s11265-018-1385-4

Cited by 17 publications

(1 citation statement)

References 28 publications

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“…Golec et al [39] introduced a fingerprint-based authentication system in an IoT environment, where the fingerprint data in the communication channel and database is protected by the AES-128-bit key encryption method. Sabri et al [40] developed a fingerprint-based authentication framework for match-on-card and match-onhost applications, but the fingerprint template is unprotected. Kumar [41] utilized a fingerprint authentication system in an IoT environment to defend communication channels against black hole attacks.…”

Section: Related Workmentioning

confidence: 99%

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

Yin

Wang

Zhu

et al. 2023

IEEE Internet Things J.

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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.

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Section: Related Workmentioning

confidence: 99%