Securing E-payment Systems by RFID and Deep Facial Biometry

Benamara, Nadir Kamel; Keche, Mokhtar; Wellington, Murisi; Munyaradzi, Zhou

doi:10.1109/caida51941.2021.9425175

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…We can argue that technology has made our lives more convenient. The E-Payments [3] is one of the latest banking, financial, & commercial advancements. It wasn't until the early 1980s that online banking made its debut in New York, the US [5].…”

Section: (D ) Internet Bankingmentioning

confidence: 99%

“…Face authentication models that use deep learning were tested on MUCT & CASIA Face-V5 datasets to select the best one for our proposed secure E-Payment system, with top verification rates of 99.90% & 99.26%. There are two versions of this system: the first one uses a personal computer (PC) & second one uses an embedded system (Raspberry Pi 3) [3].…”

Section: P C Lai Et Al (2022)mentioning

confidence: 99%

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A Study the Use of E-Payment Systems Based on Artificial Intelligence

Siddiqui¹,

Goyal²

2023

Artificial Intelligence and Communication Technologies

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Electronic payments are rapidly expanding in popularity these days as a result of the hectic pace of modern living. In addition, hackers and fraudsters routinely misuse the personal information funds in a person’s bank account. To solve this issue, we must develop an intelligent system that protects individuals’ personal data and financial resources. As a result, in the place of human beings, today’s machines act think like human beings. Artificial Intelligence (AI) is a key component of electronic payment systems. It offers a novel method of processing electronic payments. This article provides an overview of the prospects, problems, various dangers associated with e-payments, in particular fraud, which is a major threat to the e-payments industry and a major source of financial loss. E-payments, benefits, as well as the future of e-payments are all discussed in the paper.

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Section: (D ) Internet Bankingmentioning

confidence: 99%

Section: P C Lai Et Al (2022)mentioning

confidence: 99%

A Study the Use of E-Payment Systems Based on Artificial Intelligence

Siddiqui¹,

Goyal²

2023

Artificial Intelligence and Communication Technologies

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Research Trends in Sustainable E-Payment Systems: A Study Using Topic Modeling Approach

Trivedi

Vishnu

Singh

et al. 2024

IEEE Trans. Eng. Manage.

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A Systematic Literature Review on Authentication and Threat Challenges on RFID Based NFC Applications

El Gaabouri,

Senhadji,

Belkasmi

et al. 2023

Future Internet

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The Internet of Things (IoT) concept is tremendously applied in our current daily lives. The IoT involves Radio Frequency Identification (RFID) as a part of the infrastructure that helps with the data gathering from different types of sensors. In general, security worries have increased significantly as these types of technologies have become more common. For this reason, manifold realizations and studies have been carried out to address this matter. In this work, we tried to provide a thorough analysis of the cryptography-based solutions for RFID cards (MIFARE cards as a case study) by performing a Systematic Literature Review (SLR) to deliver the up-to-date trends and outlooks on this topic.

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Securing E-payment Systems by RFID and Deep Facial Biometry

Cited by 4 publications

References 14 publications

A Study the Use of E-Payment Systems Based on Artificial Intelligence

A Study the Use of E-Payment Systems Based on Artificial Intelligence

Research Trends in Sustainable E-Payment Systems: A Study Using Topic Modeling Approach

A Systematic Literature Review on Authentication and Threat Challenges on RFID Based NFC Applications

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