Measuring Network User Trust via Mouse Behavior Characteristics Under Different Emotions

Authentication based on mouse behavior is a guarantee for network information security. But the mouse behavior is affected by the user’s emotions. Therefore, this study aims to analyze the user’s mouse behavior characteristics to measure the identity trust of users under different emotions, and to verify whether there is a significant difference. To achieve this goal, an experiment was conducted. A total of 18 college students participated in this study. The results show that there are differences in the accuracy of authentication based on the user’s mouse sliding behavior in three different emotional states, but the difference is not significant. The average accuracy of authentication under neutral, positive and negative emotions were 83.6%, 80.3% and 81.9%, respectively. The results also show that although the user performs human-computer interaction under different emotions, it will not essentially affect user authentication. Therefore, it can conclude that measuring network user trust via mouse behavior characteristics under different emotions is credible.