Implementation and Performance of Face Recognition Payment System Securely Encrypted by SM4 Algorithm

Face recognition payment is a new type of payment method, with AI face recognition technology as the core, and its speed and convenience are more in line with the users’ payment habits. However, the face is a biological feature with weak privacy, and the protection of user information security is pa...

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Main Authors: Yukun Zhou, Ningsheng Wu, Baidong Hu, Yitao Zhang, Jingyun Qiu, Weiming Cai
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/13/7/316
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author Yukun Zhou
Ningsheng Wu
Baidong Hu
Yitao Zhang
Jingyun Qiu
Weiming Cai
author_facet Yukun Zhou
Ningsheng Wu
Baidong Hu
Yitao Zhang
Jingyun Qiu
Weiming Cai
author_sort Yukun Zhou
collection DOAJ
description Face recognition payment is a new type of payment method, with AI face recognition technology as the core, and its speed and convenience are more in line with the users’ payment habits. However, the face is a biological feature with weak privacy, and the protection of user information security is particularly important. At present, face payment technology still has security risks, and the data transmitted during the transaction process are vulnerable to attacks. Aiming at the security problems in the payment process, a payment system that is jointly encrypted by the SM4 algorithm and the face liveness detection algorithm was proposed in this paper, which supports a variety of communication methods. The hardware platform adopts an octa-core 64-bit ARM processor with a main frequency of 1.8 GHz, which has powerful computing and processing capabilities. Based on the Android intelligent operating system, the development environment is more secure and convenient. It is also equipped with a liveness detection 3D structured light camera, which dynamically collects face information and accurately analyzes the characteristics of living bodies. Through the data encryption and decryption test and face performance index detection, the expected effect of the system was achieved, which greatly improved the performance of the face payment system currently studied. The SM4 encryption algorithm improved the running rate of encrypted data and the security of face transaction data transmission, the face detection algorithm improved the accuracy of living body feature recognition, and the payment system effectively improved the accuracy and security of face payment.
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spelling doaj.art-51b76b9f3442415f9d21c317fe3e24592023-12-03T15:11:07ZengMDPI AGInformation2078-24892022-06-0113731610.3390/info13070316Implementation and Performance of Face Recognition Payment System Securely Encrypted by SM4 AlgorithmYukun Zhou0Ningsheng Wu1Baidong Hu2Yitao Zhang3Jingyun Qiu4Weiming Cai5Applied Engineering College, Zhejiang Business College, Hangzhou 310053, ChinaApplied Engineering College, Zhejiang Business College, Hangzhou 310053, ChinaHangzhou Sunyard Technology Co., Ltd., Hangzhou 310053, ChinaCollege of Control Science and Engineering, Zhejiang University, Hangzhou 310058, ChinaApplied Engineering College, Zhejiang Business College, Hangzhou 310053, ChinaSchool of Information Science and Engineering, NingboTech University, Ningbo 315100, ChinaFace recognition payment is a new type of payment method, with AI face recognition technology as the core, and its speed and convenience are more in line with the users’ payment habits. However, the face is a biological feature with weak privacy, and the protection of user information security is particularly important. At present, face payment technology still has security risks, and the data transmitted during the transaction process are vulnerable to attacks. Aiming at the security problems in the payment process, a payment system that is jointly encrypted by the SM4 algorithm and the face liveness detection algorithm was proposed in this paper, which supports a variety of communication methods. The hardware platform adopts an octa-core 64-bit ARM processor with a main frequency of 1.8 GHz, which has powerful computing and processing capabilities. Based on the Android intelligent operating system, the development environment is more secure and convenient. It is also equipped with a liveness detection 3D structured light camera, which dynamically collects face information and accurately analyzes the characteristics of living bodies. Through the data encryption and decryption test and face performance index detection, the expected effect of the system was achieved, which greatly improved the performance of the face payment system currently studied. The SM4 encryption algorithm improved the running rate of encrypted data and the security of face transaction data transmission, the face detection algorithm improved the accuracy of living body feature recognition, and the payment system effectively improved the accuracy and security of face payment.https://www.mdpi.com/2078-2489/13/7/316SM4 algorithmdata securityface recognitioncryptographic protocolsproduct codesembedded software
spellingShingle Yukun Zhou
Ningsheng Wu
Baidong Hu
Yitao Zhang
Jingyun Qiu
Weiming Cai
Implementation and Performance of Face Recognition Payment System Securely Encrypted by SM4 Algorithm
Information
SM4 algorithm
data security
face recognition
cryptographic protocols
product codes
embedded software
title Implementation and Performance of Face Recognition Payment System Securely Encrypted by SM4 Algorithm
title_full Implementation and Performance of Face Recognition Payment System Securely Encrypted by SM4 Algorithm
title_fullStr Implementation and Performance of Face Recognition Payment System Securely Encrypted by SM4 Algorithm
title_full_unstemmed Implementation and Performance of Face Recognition Payment System Securely Encrypted by SM4 Algorithm
title_short Implementation and Performance of Face Recognition Payment System Securely Encrypted by SM4 Algorithm
title_sort implementation and performance of face recognition payment system securely encrypted by sm4 algorithm
topic SM4 algorithm
data security
face recognition
cryptographic protocols
product codes
embedded software
url https://www.mdpi.com/2078-2489/13/7/316
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