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@article{157867,
        author = {Rakshitha P and Rakshitha V and Ravuru Indu and Sushmitha H and Keerthi Mohan},
        title = {A SURVEY ON TWO-LAYER AUTHENTICATION FOR SECURE APPLICATIONS USING AI-ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {8},
        pages = {183-187},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157867},
        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 user’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},
        keywords = {OpenCV, Python, facial-recognition, OTP generation, CNN},
        month = {},
        }