A cloud-based mobile payment system using identity-based signature providing key revocation

Shamsabadi, Fatemeh Alidadi; Bakhtiari, Shaghayegh

doi:10.1007/s11227-021-03830-4

Cited by 9 publications

(3 citation statements)

References 37 publications

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“…For example, Liu et al (2020) propose a secure mobile payment framework that integrates public key cryptography. Similarly, Alidadi Shamsabadi and Bakhtiari (2022) suggest utilizing an identity-based signature providing key revocation that adds an extra layer of protection. Wang et al (2021) propose machine learning as a robust evaluation system for mobile payment security, demonstrating the power of predictive analytics in mitigating fraudulent activities in real-time.…”

Section: Problems Outlined In Current Researchmentioning

confidence: 99%

“…By predicting potential vulnerabilities and future threats, Big Data enables preemptive security measures that enhance the overall security framework (Hwang et al, 2021;Tran, 2020). Amongst other findings, a pertinent one is that while Big Data analytics substantially improve mobile payment security, careful navigation around privacy and data protection is imperative (Vincent et al, 2020;Alidadi Shamsabadi & Bakhtiari Chehelcheshmeh, 2022). The balance between exploiting data for security purposes and ensuring user privacy is delicate, and misuse carries severe implications both for user trust and legal conformity.…”

Section: Insightsmentioning

confidence: 99%

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Application of Big Data Technology in Mobile Payment Security

Wang

2023

JRSSH

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The rapid growth in mobile technologies, particularly mobile payment platforms, has led to increased risks of fraudulent activities. This paper investigates how big data analytics can enhance fraud detection mechanisms in mobile payment systems. The research question explored is: “How do big data analytics enhance fraud detection mechanisms in mobile payment platforms?” The study adopts a quantitative approach to understand the correlation and impact of big data analytics on fraud detection mechanisms, analyzing detailed records of financial transactions and publicly available databases. The paper addresses current gaps in research regarding the utilization of big data analytics in mobile payment environments, highlighting the strategic importance of big data in fraud prevention and fortifying the defenses of mobile payment platforms against modern cyber threats.

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Section: Problems Outlined In Current Researchmentioning

confidence: 99%

Section: Insightsmentioning

confidence: 99%

Application of Big Data Technology in Mobile Payment Security

Wang

2023

JRSSH

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“…Researchers from home and abroad have given the definition of mobile payment, which is as follows: a mobile payment is a form of payment transaction processing over mobile communication techniques in which the payer initializes, authenticates, and completes payment by mobile devices [31]. Thus far, there have been some different proposed mobile payment protocols, such as [32,33]. These protocols are based on symmetric cryptography.…”

Section: Related Workmentioning

confidence: 99%

Mobile Payment Protocol with Deniably Authenticated Property

Liu

Huang

Zhuo

et al. 2023

Sensors

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Mobile payment services have been widely applied in our daily life, where users can conduct transactions in a convenient way. However, critical privacy concerns have arisen. Specifically, a risk of participating in a transaction is the disclosure of personal privacy. This might occur if, for example, the user pays for some special medicine, such as AIDS medicine or contraceptives. In this paper, we propose a mobile payment protocol that is suitable for mobile devices only with limited computing resources. In particular, the user in a transaction can confirm the identity of others in the same transaction while the user cannot show convincing evidence to prove that others also take part in the same transactions. We implement the proposed protocol and test its computation overhead. The experiment results corroborate that the proposed protocol is suitable for mobile devices with limited computing resources.

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Blockchain-based mutual authentication protocol without CA

Gao-jian

2022

J Supercomput

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A cloud-based mobile payment system using identity-based signature providing key revocation

Cited by 9 publications

References 37 publications

Application of Big Data Technology in Mobile Payment Security

Application of Big Data Technology in Mobile Payment Security

Mobile Payment Protocol with Deniably Authenticated Property

Blockchain-based mutual authentication protocol without CA

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