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Cardiovascular PPG biometric key generation for IoT in healthcare domain
Author(s): Nima Karimian
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Paper Abstract

The wearable IoT monitor device becomes increasingly popular in a market where heart-rate monitors, pulse oximeters sensor are integrated into a device and already play an important role in everyday life. With these considerations in mind, it is important to maintain the security and privacy of users. Biometric authentication offers several benefits such as improved facilitation, enablement, and automation. However, traditional biometric modalities such as fingerprint, face, and iris require specific hardware or sensors to capture the biometric. In this paper, we introduce next-generation biometric called photoplethysmograph (PPG) that are internal to the body, offering a number of advantages. First of all, they are harder to clone, to harvest and to potentially hack, by the nature of the fact they are internal. Other benefits include liveness detection, and interoperability, which traditional modalities don't necessarily have. In this study, we developed the PPG biometric-based key generation that can be extracted by our adaptive quantization approach. The experimental result is shown that 175 key bits with 99.9% average reliability and 0.89 min-entropy can be achieved.

Paper Details

Date Published: 13 May 2019
PDF: 7 pages
Proc. SPIE 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019, 109930X (13 May 2019); doi: 10.1117/12.2518821
Show Author Affiliations
Nima Karimian, San José State Univ. (United States)


Published in SPIE Proceedings Vol. 10993:
Mobile Multimedia/Image Processing, Security, and Applications 2019
Sos S. Agaian; Vijayan K. Asari; Stephen P. DelMarco, Editor(s)

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