SMARTPHONE USER AUTHENTICATION MODEL BASED ON INDIVIDUAL BEHAVIOR

Abstract

The present article introduces the development of an innovative smartphone user authentication model based on their individual behavior. The developed model takes into account parameters such as text input, typing speed, device grip style, angular velocity and acceleration, and motion dynamics. The model proposed in this study aims to increase the level of security of mobile devices by leveraging the uniqueness and inimitability of users’ behavioral characteristics. It offers an effective mechanism for identifying smartphone users, eliminating the possibility of unauthorized access to personal data.