Detecting Fraudulent Pattern Through Key Stroke Dynamics Using Machine Learning Algorithm

Sensitive & high technology work such as VLSI circuit design & low power designs etc. requires office environment and close monitoring to avoid unwanted activities and unusual behaviour from the user. Few circumstances like COVID-19 forced employees to work remotely. One of the preferred ways of remote monitoring is finding unusual pattern through usages of Key Strokes. In this paper, the data collection technique for dynamic keystrokes is described, and using Machine Learning (ML) algorithm how fraudulent activities in remote machines (laptop/computers) can be determined is demonstrated.