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

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

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

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

Unique Paper ID: 157867
Volume: 9
Issue: 8
PageNo: 183-187

Keywords: OpenCV Python facial-recognition OTP generation CNN

Abstract:
Two-layer authentication provides improved protection. Two-layer Authentication delivers a higher level assuransce of authentication, which is essential for online banking security, voting system, secure transactions, secure virtual meetings, etc. Many banking systems have satisfied the two-layer authentication requirements by sending an One Time Password (OTP), processed through an SMS to the userâ€™s connected device. A two-layer OTP based authentication scheme for secure applications has been proposed through SMS using mobile phones as they are becoming more and more powerful devices. 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

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ISSN: 2349-6002
Volume: 9
Issue: 8
PageNo: 183-187

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

Available:https://ijirt.org/Article?manuscript=157867

13 May, 2023

TWO-LAYER AUTHENTICATION FOR SECURE APPLICATIONS USING AI-ML

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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