The thesis aims to develop a comprehensive approach to enhance the effectiveness of fraud detection methods using mobile phone sensory data, including accelerometer, gyroscope, proximity sensor, and touch events. The study will include quantitative and correlation analyses, linking confirmed fraud cases, obtained from Slovenska Sporitelna, with specific user behaviors. The final deliverable will encompass strategic recommendations, prioritizing fraud types based on their occurrence frequency and the feasibility of their detection.