Secure Operation of Biometric Authentication Based on User’s Viewpoint

Tanimoto, Shigeaki; Toriyama, Satomu; Iwashita, Motoi; Endo, Teruo; Chertchom, Prajak

doi:10.1109/bcd.2019.8885177

2019 IEEE International Conference on Big Data, Cloud Computing, Data Science &Amp; Engineering (BCD) 2019

DOI: 10.1109/bcd.2019.8885177

|View full text |Cite

Secure Operation of Biometric Authentication Based on User’s Viewpoint

Shigeaki Tanimoto

Satomu Toriyama

Motoi Iwashita

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, concerns about user acceptance have arisen. Regarding privacy and trust with respect to biometrics, most studies have discussed biometrics penetration from a technical viewpoint (Dubey 2019;Tanimoto et al 2019;Iyer et al 2020), but there is less research from the perspective of users.…”

mentioning

confidence: 99%

Exploring biometric identification in FinTech applications based on the modified TAM

Wang

2021

Financ Innov

View full text Add to dashboard Cite

In recent years, biometric technologies have been widely embedded in mobile devices; these technologies were originally employed to enhance the security of mobile devices. With the rise of financial technology (FinTech), which uses mobile devices and applications as promotional platforms, biometrics has the important role of strengthening the identification of such applications for security. However, users still have privacy and trust concerns about biometrics. Previous studies have demonstrated that the technology acceptance model (TAM) can rigorously explain and predict user acceptance of new technologies. This study therefore modifies the TAM as a basic research architecture. Based on a literature review, we add two new variables, namely, “perceived privacy” and “perceived trust,” to extend the traditional TAM to examine user acceptance of biometric identification in FinTech applications. First, we apply the analytic hierarchy process (AHP) to evaluate the defined objects and relevant criteria of the research framework. Second, we use the AHP results in the scenario analysis to explore biometric identification methods that correspond to objects and criteria. The results indicate that face and voice recognition are the two most preferred identification methods in FinTech applications. In addition, there are significant changes in the results of the perceived trust and perceived privacy dominant scenarios.

show abstract

mentioning

confidence: 99%

Exploring biometric identification in FinTech applications based on the modified TAM

Wang

2021

Financ Innov

View full text Add to dashboard Cite

show abstract

Microsoft Azure active directory for next level authentication to provide a seamless single sign-on experience

Subbarao¹,

Raju

Anjum

et al. 2021

Appl Nanosci

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Secure Operation of Biometric Authentication Based on User’s Viewpoint

Cited by 2 publications

References 6 publications

Exploring biometric identification in FinTech applications based on the modified TAM

Exploring biometric identification in FinTech applications based on the modified TAM

Microsoft Azure active directory for next level authentication to provide a seamless single sign-on experience

Contact Info

Product

Resources

About