A Secure and Efficient Key Authentication using Bilinear Pairing for NFC Mobile Payment Service

Chen, Xinyi; Choi, Kyung Ho; Chae, Kijoon

doi:10.1007/s11277-017-4261-9

Cited by 22 publications

(7 citation statements)

References 11 publications

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“…A habit is also defined as the automatic association of specific clues and actions that are formed by memory through a certain amount of repetitive learning or practice [51], [86]. Wood and Neal [95] suggested that habits develop as people react repeatedly. Nilsen et al, [63] showed that habits are formed by an already repeated behavior.…”

Section: Habit Theoriesmentioning

confidence: 99%

Applying Transaction Cost Theory and Push-Pull-Mooring Model to Investigate Mobile Payment Switching Behaviors with Well-Established Traditional Financial Infrastructure

Wung

2020

JTAER

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The technology of mobile payments has received more attention than ever. However, whether it is possible that mobile payment will become a common payment method for consumers depends on the willingness of consumers. This study focuses on the intention from cash payment to mobile payment and adopts a qualitative and quantitative approach based on the theoretical structure of the Transaction Cost & the Push-Pull-Mooring Migration Model of Service Switching. Firstly, the Delphi Method was applied to extract three push variables (perceived trouble, perceived lack of transaction records, and difficulty of paying large amounts in cash) and three pull variables (perceived convenience, perceived benefit, and perceived time-saving). After surveying 586 samples, this proposed model was tested with a structural equation modeling approach. Results: 1. the pull facet tends to be more significant than the push facet. 2. Perceived trouble had a significant effect on push factors, while perceived convenience and perceived benefit had a significant effect on pull factors. 3. Push-&pull factors had significant effect on behavior of gender-&-age. And the-transaction-costs can divide into positive-transaction-costs and negative-transaction-costs after incorporating the Push-Pull-Mooring theory.

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Section: Habit Theoriesmentioning

confidence: 99%

Applying Transaction Cost Theory and Push-Pull-Mooring Model to Investigate Mobile Payment Switching Behaviors with Well-Established Traditional Financial Infrastructure

Wung

2020

JTAER

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“…As shown in Table 3, most of the m-banking research focused on user authentication (Apostolopoulos et al, 2013; Barkadehi et al, 2018; Khattak et al, 2021; Parker et al, 2015; Sinigaglia et al, 2020; Y. Wang et al, 2016; Zimmermann & Gerber, 2020) due to rise in an online scam to highlight the challenges connected to the present “authentication schemes,” while others proposed a framework for m-banking verification (Abo-Zahhad et al, 2014; Aithal, 2015; Alhothaily et al, 2018; Basar et al, 2019; Chen et al, 2017; Karim et al, 2020; Nagaraju & Parthiban, 2015; Soviany et al, 2016; Thomas & Goudar, 2018). Similarly, some of the included articles examined m-banking safety and secrecy in general (Cavus et al, 2021; Laukkanen, 2016; Liao et al, 2020; Malaquias & Hwang, 2016, 2019; Mensah et al, 2019; Sharma & Sharma, 2019; Tandon et al, 2018; Thakur & Srivastava, 2015; Y.…”

Section: Resultsmentioning

confidence: 99%

Examining User Verification Schemes, Safety and Secrecy Issues Affecting M-Banking: Systematic Literature Review

Çavuş¹,

Mohammed

Bulama

et al. 2023

Sage Open

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Expediency and suppleness were the main reasons for customers’ patronage of m-banking apps. However, data stored or transmitted in these apps are susceptible to different attacks, threats, and risks. Thus, the need for robust safety mechanisms to cope with these security and privacy challenges. The purpose of this research is to examine the different components of m-banking security that merit investigation, and the vulnerability of present authentication methods in order to propose a more robust verification technique. PRISMA preferred items reporting for Systematic Review and Meta-Analyses approach was used in this study. Six databases were utilized; IEEE-Explore, Scopus, EBSCOhost, Taylor & Francis, ScienceDirect, and Web of Science. About 1,149 articles were extracted from these databases out of which 38 articles met the review selection criteria, thus included in the review. Findings of the study highlight the efficacy of PRISMA method with regard to items reporting and identification of research gaps compared to the usual literature review. Also, the results of the study found intrusion via other apps stored on mobile devices, and device lost or theft were the main safety and privacy issues. Furthermore, the study findings discovered that the present authentication schemes used by banks are becoming weak and open to various attacks due to an increase in online fraud. Based on the review findings, an Artificial Intelligence-based user authentication and anomalies detection model was proposed which may provide direction for upcoming studies. Also, banks and other financial institutions can use the review results to improve m-banking security.

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“…However, their scheme consumes more energy consumption 32 . Of late, bilinear pairings 33 have been used for the design of lightweight authentication protocol. Unfortunately, the operations related to bilinear pairing are computationally expensive and more time‐consuming for IoT device communication.…”

Section: Research Backgroundmentioning

confidence: 99%

“…However, their scheme consumes more energy consumption. 32 Of late, bilinear pairings 33 have been used for the design of lightweight authentication protocol.…”

Section: Related Workmentioning

confidence: 99%

Lightweight privacy‐aware secure authentication scheme for cyber‐physical systems in the edge intelligence era

Deebak

Al‐Turjman²

2021

Concurrency and Computation

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Internet of Things (IoT) and cyber‐physical systems demand proper real‐time data processing and analysis to fulfill the essential characteristics of seamless computing services such as less processing time, dynamic network management, and location awareness. With the evolution of mobile edge computing, numerous security and privacy issues have been addressed including policy management, authentication, access control, and confidentiality. The technologies such as big‐data, Internet of Things, and cloud have improved the development of modern healthcare systems to improve the quality of medical services. It is nowadays integrating the computing methods and communication technologies such as wireless sensor networks, radio frequency identification, smartphones, and location awareness to collect and analyze the physiological data of the patient. The e‐Health entities such as medical device, client, and server rely on analytical models to carry out early diagnosis and remote monitoring. As it is based on e‐Health applications, a real‐time healthcare system is preferred to integrate with mobile cloud computing. Since the medical data are hugely exposed to vulnerabilities, a lightweight privacy‐aware secure authentication (LPASA) scheme is presented. To achieve better secure efficiencies, this article is preferable to use lightweight cryptographic operations, namely, one‐way hashing function and bitwise exclusive‐OR. Moreover, the formal and informal security analysis shows that the proposed LPASA can withstand the possible active and passive attacks such as replay, man‐in‐the‐middle, privileged‐insider, online‐guessing, and so forth. The experimental analysis demonstrates that the proposed LPASA scheme achieves a better quality of services in terms of packet delivery ratio, energy consumption per data delivery bit, and percentage of packets with low latency to adopt in resource‐constrained environments.

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A Secure and Efficient Key Authentication using Bilinear Pairing for NFC Mobile Payment Service

Cited by 22 publications

References 11 publications

Applying Transaction Cost Theory and Push-Pull-Mooring Model to Investigate Mobile Payment Switching Behaviors with Well-Established Traditional Financial Infrastructure

Applying Transaction Cost Theory and Push-Pull-Mooring Model to Investigate Mobile Payment Switching Behaviors with Well-Established Traditional Financial Infrastructure

Examining User Verification Schemes, Safety and Secrecy Issues Affecting M-Banking: Systematic Literature Review

Lightweight privacy‐aware secure authentication scheme for cyber‐physical systems in the edge intelligence era

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