TWO-LAYER AUTHENTICATION FOR SECURE APPLICATIONS USING AI-ML

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Rakshitha P; Rakshitha V; Ravuru Indu; Sushmitha H; Keerthi Mohan

TWO-LAYER AUTHENTICATION FOR SECURE APPLICATIONS USING AI-ML

Authors: Rakshitha P, Rakshitha V, Ravuru Indu, Sushmitha H, Keerthi Mohan

Unique Paper ID: 159846
Volume: 9
Issue: 12
PageNo: 563-566

Keywords: OpenCV Python facial-recognition OTP generation CNN

Abstract:
Improved security is provided by two-layer authentication. A higher level of authentication assurance is provided by two-layer authentication, which is crucial for the security of online banking, voting systems, secure transactions, secure virtual meetings, etc. The two-layer authentication requirements for many banking systems are met by delivering a One Time Password (OTP), processed by an SMS, to the user's linked device. With mobile phones becoming more and more capable tools, a two-layer OTP based authentication strategy for secure applications has been developed. This two-layer authentication involves face recognition in the first layer followed by OTP generation. In our proposed approach we authenticate verified users and allow their access to the system and deny access to unauthorised person through this two-layer authentication. Our proposed system achieves better characteristics than the other systems. This proposed approach can be used for many applications such as online banking system, voting system, secure transactions, secure virtual meetings, etc.

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Cite This Article

ISSN: 2349-6002
Volume: 9
Issue: 12
PageNo: 563-566

TWO-LAYER AUTHENTICATION FOR SECURE APPLICATIONS USING AI-ML

Available:https://ijirt.org/article?manuscript=159846

03 Jan, 2023

A SURVEY ON TWO-LAYER AUTHENTICATION FOR SECURE APPLICATIONS USING AI-ML

Impact Factor
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UGC Approved
Journal no 47859

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