Convolutional Neural Networks to Protect Against Spoofing Attacks on Biometric Face Authentication-Reference-Cited by-同舟云学术

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Convolutional Neural Networks to Protect Against Spoofing Attacks on Biometric Face Authentication

Published:2021 Issue: Volume: Page:123-146
ISSN:1865-1348
Container-title:Lecture Notes in Business Information Processing
language:
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Author:

Kuznetsov Alexandr^ORCID,Fedotov Sergey^ORCID,Bagmut Mykhaylo^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-85893-3_9

Reference54 articles.

1. Rathgeb, C., Uhl, A.: A survey on biometric cryptosystems and cancelable biometrics. EURASIP J. Inf. Secur. 2011, 3 (2011). https://doi.org/10.1186/1687-417X-2011-3

2. Kakadiaris, I.A., Woodard, D.L., Schuckers, S.A.C.: Selected best works from biometrics: theory, applications, and systems 2019. IEEE Trans. Biom. Behav. Identity Sci. 2, 308–309 (2020). https://doi.org/10.1109/TBIOM.2020.3022299

3. Lecture Notes in Networks and Systems;M Lutsenko,2021

4. Mandal, S., Bera, B., Sutrala, A.K., Das, A.K., Choo, K.-K.R., Park, Y.: Certificateless-signcryption-based three-factor user access control scheme for IoT environment. IEEE Internet Things J. 7, 3184–3197 (2020). https://doi.org/10.1109/JIOT.2020.2966242

5. Banerjee, S., Odelu, V., Das, A.K., Srinivas, J., Kumar, N., Chattopadhyay, S., et al.: A provably secure and lightweight anonymous user authenticated session key exchange scheme for Internet of Things deployment. IEEE Internet Things J. 6, 8739–8752 (2019). https://doi.org/10.1109/JIOT.2019.2923373

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1. Deep Learning Based Face Liveliness Detection;2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T);2022-10-10

2. Artificial intelligence in physiological characteristics recognition for internet of things authentication;Digital Communications and Networks;2022-10

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