Preliminary Experiments of a Real-World Authentication Mechanism Based on Facial Recognition and Fully Homomorphic Encryption
In the current context in which user authentication is the first line of defense against emerging attacks and can be considered a defining element of any security infrastructure, the need to adopt alternative, non-invasive, contactless, and scalable authentication mechanisms is mandatory. This paper...
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Format: | Article |
Language: | English |
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MDPI AG
2024-01-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/14/2/718 |
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author | Georgiana Crihan Luminița Dumitriu Marian Viorel Crăciun |
author_facet | Georgiana Crihan Luminița Dumitriu Marian Viorel Crăciun |
author_sort | Georgiana Crihan |
collection | DOAJ |
description | In the current context in which user authentication is the first line of defense against emerging attacks and can be considered a defining element of any security infrastructure, the need to adopt alternative, non-invasive, contactless, and scalable authentication mechanisms is mandatory. This paper presents initial research on the design, implementation, and evaluation of a multi-factor authentication mechanism that combines facial recognition with a fully homomorphic encryption algorithm. The goal is to minimize the risk of unauthorized access and uphold user confidentiality and integrity. The proposed device is implemented on the latest version of the Raspberry Pi and Arduino ESP 32 modules, which are wirelessly connected to the computer system. Additionally, a comprehensive evaluation, utilizing various statistical parameters, demonstrates the performance, the limitations of the encryption algorithms proposed to secure the biometric database, and also the security implications over the system resources. The research results illustrate that the Brakerski–Gentry–Vaikuntanathan algorithm can achieve higher performance and efficiency when compared to the Brakerski–Fan–Vercauteren algorithm, and proved to be the best alternative for the designed mechanism because it effectively enhances the level of security in computer systems, showing promise for deployment and seamless integration into real-world scenarios of network architectures. |
first_indexed | 2024-03-08T09:59:19Z |
format | Article |
id | doaj.art-e1c72199298b4bc0af532811e71a5102 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-08T09:59:19Z |
publishDate | 2024-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-e1c72199298b4bc0af532811e71a51022024-01-29T13:43:55ZengMDPI AGApplied Sciences2076-34172024-01-0114271810.3390/app14020718Preliminary Experiments of a Real-World Authentication Mechanism Based on Facial Recognition and Fully Homomorphic EncryptionGeorgiana Crihan0Luminița Dumitriu1Marian Viorel Crăciun2Faculty of Automation, Computer Sciences, Electronics and Electrical Engineering, “Dunărea de Jos” University, Științei Street No. 2, 800210 Galați, RomaniaFaculty of Automation, Computer Sciences, Electronics and Electrical Engineering, “Dunărea de Jos” University, Științei Street No. 2, 800210 Galați, RomaniaFaculty of Automation, Computer Sciences, Electronics and Electrical Engineering, “Dunărea de Jos” University, Științei Street No. 2, 800210 Galați, RomaniaIn the current context in which user authentication is the first line of defense against emerging attacks and can be considered a defining element of any security infrastructure, the need to adopt alternative, non-invasive, contactless, and scalable authentication mechanisms is mandatory. This paper presents initial research on the design, implementation, and evaluation of a multi-factor authentication mechanism that combines facial recognition with a fully homomorphic encryption algorithm. The goal is to minimize the risk of unauthorized access and uphold user confidentiality and integrity. The proposed device is implemented on the latest version of the Raspberry Pi and Arduino ESP 32 modules, which are wirelessly connected to the computer system. Additionally, a comprehensive evaluation, utilizing various statistical parameters, demonstrates the performance, the limitations of the encryption algorithms proposed to secure the biometric database, and also the security implications over the system resources. The research results illustrate that the Brakerski–Gentry–Vaikuntanathan algorithm can achieve higher performance and efficiency when compared to the Brakerski–Fan–Vercauteren algorithm, and proved to be the best alternative for the designed mechanism because it effectively enhances the level of security in computer systems, showing promise for deployment and seamless integration into real-world scenarios of network architectures.https://www.mdpi.com/2076-3417/14/2/718biometric authenticationfully homomorphic encryptionfacial featuresRaspberry PiArduino modulesinformation security |
spellingShingle | Georgiana Crihan Luminița Dumitriu Marian Viorel Crăciun Preliminary Experiments of a Real-World Authentication Mechanism Based on Facial Recognition and Fully Homomorphic Encryption Applied Sciences biometric authentication fully homomorphic encryption facial features Raspberry Pi Arduino modules information security |
title | Preliminary Experiments of a Real-World Authentication Mechanism Based on Facial Recognition and Fully Homomorphic Encryption |
title_full | Preliminary Experiments of a Real-World Authentication Mechanism Based on Facial Recognition and Fully Homomorphic Encryption |
title_fullStr | Preliminary Experiments of a Real-World Authentication Mechanism Based on Facial Recognition and Fully Homomorphic Encryption |
title_full_unstemmed | Preliminary Experiments of a Real-World Authentication Mechanism Based on Facial Recognition and Fully Homomorphic Encryption |
title_short | Preliminary Experiments of a Real-World Authentication Mechanism Based on Facial Recognition and Fully Homomorphic Encryption |
title_sort | preliminary experiments of a real world authentication mechanism based on facial recognition and fully homomorphic encryption |
topic | biometric authentication fully homomorphic encryption facial features Raspberry Pi Arduino modules information security |
url | https://www.mdpi.com/2076-3417/14/2/718 |
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