Lightweight Bio-Chaos Crypt to Enhance the Security of Biometric Images in Internet of Things Applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08342-1.pdf
Reference34 articles.
1. Hamidi, H. (2018). An approach to develop the smart health using internet of things and authentication based on biometric technology. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2018.09.024
2. Wazid, M., Das, A. K., Hussain, R., Succi, G., & Rodrigues, J. J. P. C. (2019). Authentication in cloud-driven IoT-based big data environment: Survey and outlook. Journal of Systems Architecture, 97, 185–196. https://doi.org/10.1016/j.sysarc.2018.12.005
3. Obaidat, M. S., Rana, S. P., & Maitra, T. (2018). Biometric Security and Internet of Things (IoT) Chapter 19 Biometric Security and Internet of Things (IoT). https://doi.org/10.1007/978-3-319-98734-7
4. El, H. A., & Hosni, M. M. (2019). Secure IoT communications for smart healthcare monitoring system, 1–14.
5. Gupta, S., Buriro, A., & Crispo, B. (2019). DriverAuth: A risk-based multi-modal biometric-based driver authentication scheme for ride-sharing platforms. Computers & Security, 83, 122–139. https://doi.org/10.1016/j.cose.2019.01.007
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