3-TIER SECURITY AUTHENTICATION

Prof. Rajendra P. Sabale , Mr. Rohit S. Kute , Miss. Rutuja J. Adhav , Miss. Chetana M. Pakhale , Miss. Mrunal L. Chaudhari

python, face recognition, secure system

Online information systems currently heavily rely on the username and password traditional method for protecting information and controlling access. With the advancement in digital technology and popularity of fields like AI and Machine Learning, facer recognition security is becoming increasingly popular because of the usability advantage. This system reports how machine learning based three step authentication such as QR scanner, face recognition and time-based OTP can be integrated into a web-based system as a method of authentication to reap the benefits of improved usability. The resulting classifier is integrated into the web-based system and used for authenticating users.

Published Paper   E-Certificate

"3-TIER SECURITY AUTHENTICATION", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.1077 - 1080, November-2022, Available :https://ijsdr.org/papers/IJSDR2211161.pdf

Volume 7 Issue 11, November-2022

Pages : 1077 - 1080

Paper Reg. ID: IJSDR_202806

Published Paper Id: IJSDR2211161

Downloads: 000347188

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2211161

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2211161

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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