Mobile App Usage Behaviour based User Authentication using Fuzzy Random Forest
Journal of System and Management Sciences · 2022
Smartphones are common among people and are also used for monitoring and controlling house appliances.Identity verification on smartphones is typically done once and the identification method is not repeatedly used.Extraction of data from mobile telephone usage, including authentication and authorization events can be used to find a resolution.In this method, Fuzzy logic with the Random Forest user authentication model is presented for a mobile application that uses events of application access.The real-world dataset has been employed to test the approach.The framework is tested for authenticated users using shared applications for a particular time.The proposed method considers that the users operate the mobile apps individually during weekend days.The proposed method is tested with alternative classifiers in terms of the identity of valid users.The proposed model has a higher F-measure of 99.98 % compared to the existing K-Nearest Neighbor has 96 % F-measure.