Abstract: The rapid growth of digital banking, electronic commerce, mobile payments, and financial technology platforms has increased cybersecurity risks associated with digital transactions. Conventional password and two-factor authentication systems remain vulnerable to phishing, credential theft, device compromise, account takeover, and unauthorized transactions. This study proposes a Five-Factor Authentication Framework integrating knowledge, possession, inherencer-....
Key Word: Five-Factor Authentication, Digital Transactions, Cybersecurity, Digital Transaction Datasets, Prototype Evaluation, ANOVA Statistical Ana
[1].
Abuhamad, M., Abusnaina, A., Nyang, D., & Mohaisen, D. (2021). Sensor-based continuous authentication of smartphones' users using behavioral biometrics: A contemporary survey. IEEE Internet of Things Journal, 8(1), 65–84. DOI: 10.1109/JIOT.2020.3020076
[2].
Baig, Z. A., & Eskeland, S. (2021). Security, privacy, and usability in continuous authentication: A survey. Sensors, 21(17), 5967. DOI: 10.3390/s21175967
[3].
Bonneau, J., Herley, C., van Oorschot, P. C., & Stajano, F. (2015). Passwords and the evolution of imperfect authentication. Communications of the ACM, 58(7), 78–87. DOI: 10.1145/2699390
[4].
Brito, E., Hadachi, A., Kamm, L., et al. (2025). Decentralized proof-of-location systems for trust, scalability, and privacy in digital societies. Scientific Reports, 15, 19808. DOI: 10.1038/s41598-025-04566-4
[5].
Dahia, G., Jesus, L., & Pamplona Segundo, M. (2020). Continuous authentication using biometrics: An advanced review. WIREs Data Mining and Knowledge Discovery, 10(4), e1365. DOI: 10.1002/widm.1365.