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User Authentication by Free-Text using Deep Learning
Author Name : Vishal Choudhary, Anuradha Taluja
ABSTRACT
Due to rising concerns about security and privacy, user authentication has become increasingly important in both the business and domestic spheres. The concept of user authentication has evolved with wider implications with the rise of smart cities and home environments, not only preventing unauthorized users from accessing sensitive information but also opening the door to opportunities for personalized services. Typical methods of user authentication entail cumbersome measures, such as the attachment of a wearable sensor or the installation of a specialized gadget. Online transactions require cyber security. Security tools are available. Typing authentication and Static authentication are general type of authentication techniques, while free text datasets have very few common words because users can input anything they think about a scenario. Deep learning solves continuous authentication in this paper.
Keywords: CTGAN, Free text, LSTM, Conv1D, Static Authentication