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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Main Authors: Georgiana Crihan, Luminița Dumitriu, Marian Viorel Crăciun
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
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.
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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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AT luminitadumitriu preliminaryexperimentsofarealworldauthenticationmechanismbasedonfacialrecognitionandfullyhomomorphicencryption
AT marianviorelcraciun preliminaryexperimentsofarealworldauthenticationmechanismbasedonfacialrecognitionandfullyhomomorphicencryption