Paradoks Keamanan Autentikasi Dua Faktor (2FA): Systematic Literature Review terhadap Kesenjangan Protokol Teoretis dan Kegagalan Implementasi Praktis

Authors

DOI:

https://doi.org/10.52158/h9qv3j56

Keywords:

application security, cybersecurity, exploitation, systematic literature review, two-factor authentication

Abstract

Two-Factor Authentication (2FA) has been widely adopted as a fundamental security standard, yet sophisticated cyberattacks continue to exploit security loopholes that often lie not in the protocol itself, but in its implementation. This study aims to systematically synthesize current scientific literature to uncover the root causes of the gap between the theoretical security of 2FA protocols and practical exploitation risks in the field. Using the Systematic Literature Review (SLR) method with PRISMA guidelines, 43 high-quality articles (Q1-Q4) from the Scopus database published between 2020 and 2025 were analyzed using thematic synthesis. The findings reveal a central paradox where, although 2FA protocols are becoming mathematically stronger, 88% of failure points have shifted to implementation fundamentals; the most critical weaknesses identified are the storage of secret keys in plaintext format on client applications and the effectiveness of social engineering attacks against users. This study concludes that real-world 2FA security is determined more by the quality of implementation code and user awareness than by the cryptographic strength of the protocol alone, implying that industry priorities must shift from developing new protocols to enforcing secure implementation audits and continuous user education.

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Author Biography

  • Syafrial Fachri Pane, Universitas Logistik dan Bisnis Internasional

    Syafrial Fachri Pane was born in Medan, North Sumatra in April 1988. He obtained his bachelor of informatics degree from Pasundan University and master of informatics from Bina Nusantara University, Bandung, in 2019 and 2021, respectively. Currently, she is pursuing her doctoral program at Telkom University, Bandung. He is involved in data science and machine learning research. He is also a lecturer at the University of Logistics and International Business (ULBI), Bandung. His research interests include data analytics and machine learning. His research dissertation focuses on Hybrid Multi-objective Metaheuristic Machine Learning for Pandemic Modelling.

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Published

2026-06-04

How to Cite

[1]
“Paradoks Keamanan Autentikasi Dua Faktor (2FA): Systematic Literature Review terhadap Kesenjangan Protokol Teoretis dan Kegagalan Implementasi Praktis”, J. Appl. Comput. Sci. Technol., vol. 7, no. 1, pp. 22 – 31 , Jun. 2026, doi: 10.52158/h9qv3j56.