Emerging Trends in Medical Science Using Biometric
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Publisher
Springer Singapore
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https://link.springer.com/content/pdf/10.1007/978-981-15-9927-9_56
Reference27 articles.
1. Prasad, P.S.: Vulnerabilities of biometric authentication systems: a survey. Helix 8(5), 4100–4103 (2018). https://doi.org/10.29042/2018-4100-4103
2. Roy, S., Chatterjee, S., Das, A.K., Chattopadhyay, S., Kumari, S., Jo, M.: Chaotic map-based anonymous user authentication scheme with user biometrics and fuzzy extractor for crowdsourcing internet of things. IEEE Internet Things J. 5(4), 2884–2895 (2018). https://doi.org/10.1109/jiot.2017.2714179
3. Ali, R., Pal, A.K.: An efficient three factor-based authentication scheme in multiserver environment using ECC. Int. J. Commun. Syst. 31(4) (2017). https://doi.org/10.1002/dac.3484
4. Barman, S., Shum, H.P.H., Chattopadhyay, S., Samanta, D.: A secure authentication protocol for multi-server-based E-healthcare using a fuzzy commitment scheme. IEEE Access 7, 12557–12574 (2019). https://doi.org/10.1109/access.2019.2893185
5. Goyal, S., Sharma, N., Bhushan, B., Shankar, A., Sagayam, M.: IoT enabled technology in secured healthcare: applications, challenges and future directions. In: Hassanien, A.E., Khamparia, A., Gupta, D., Shankar, K., Slowik, A. (eds.) Cognitive Internet of Medical Things for Smart Healthcare. Studies in Systems, Decision and Control, vol. 311. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-55833-8_2
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