Abstract: The present invention discloses a system and method for assessing the cyber competence of a user by analyzing human biometrics using a neural network model. According to an embodiment, the system collects human biometrics data, including eye movement data from biometric sensing device of a user, analyses the human biometrics data using an adaptive neural network model that performs rational inference to learn the correlation between the human biometric and mental disorder and provide an assessment of a cyber competence for the user based on identified mental disorder. The system may identify definitive cyber risk and assign a cyber competence score for the user using a machine learning model or using a mental disorder-cyber risk correlation table. The system may take preventive actions to prevent cyber-attacks based on the cyber competence score.

Abstract: The present invention discloses a system and method for assessing the cyber competence of a user by analyzing human biometrics using a neural network model. According to an embodiment, the system collects human biometrics data, including eye movement data from biometric sensing device of a user, analyses the human biometrics data using an adaptive neural network model that performs rational inference to learn the correlation between the human biometric and mental disorder and provide an assessment of a cyber competence for the user based on identified mental disorder. The system may identify definitive cyber risk and assign a cyber competence score for the user using a machine learning model or using a mental disorder-cyber risk correlation table. The system may take preventive actions to prevent cyber-attacks based on the cyber competence score.