INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This project focuses on improving the security of file transactions by implementing a two-factor authentication (2FA) system. As cybersecurity threats increase, protecting sensitive data in file traffic is paramount. Traditional authentication methods such as passwords are prone to various vulnerabilities that require an additional layer of protection. The main objective of this research is to design, implement and evaluate a customized two-factor authentication system for secure file transfer. The proposed system combines a traditional authentication factor, such as a password or PIN, with another factor that may include biometrics, one-time codes, or hardware identifiers. This two-layer approach aims to strengthen the authentication process and reduce the risks associated with unauthorized access and security breaches. The 2FA methodology involves the development of a prototype 2FA system, integration with file transaction protocols, and rigorous testing to assess its effectiveness in real-world scenarios. Evaluation metrics include information security resilience, user experience and system performance.
"Two-Factor Authentication for Secure File Transactions", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.d534-d541, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403371.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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