IoT-클라우드 아키텍쳐에 적합한 암호화된 프라이버시 보호 생체인증프레임워크

Vol. 35, No. 2, pp. 167-176, 4월. 2025
10.13089/JKIISC.2025.35.2.167, Full Text:
Keywords: privacy-preserving, Biometric, Functional Encryption, IoT, Cloud
Abstract

This paper proposes a biometric authentication framework, PPHDM-IoTC (Privacy-Preserving Hamming Distance Biometric Matching in IoT-Cloud architecture), which encrypts biometric templates collected through IoT(Internet of Things) devices to perform biometric authentication in a cloud environment, ensuring privacy protection. The proposed PPHDM-IoTC was implemented in C++ on a Raspberry Pi 4B environment, and the analysis showed that it can be efficiently executed even on lightweight devices, with authentication times ranging from 7.59 to 194.79 microseconds. Furthermore, the cloud server cannot recover sensitive information from the encrypted biometric templates sent by the IoT devices, thus preventing privacy breaches in advance.

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Cite this article
[IEEE Style]
노현아, 이주희, 이은민, "Privacy-Preserving Biometric Matching Framework for IoT-Cloud Architecture," Journal of The Korea Institute of Information Security and Cryptology, vol. 35, no. 2, pp. 167-176, 2025. DOI: 10.13089/JKIISC.2025.35.2.167.

[ACM Style]
노현아, 이주희, and 이은민. 2025. Privacy-Preserving Biometric Matching Framework for IoT-Cloud Architecture. Journal of The Korea Institute of Information Security and Cryptology, 35, 2, (2025), 167-176. DOI: 10.13089/JKIISC.2025.35.2.167.