The detection of security threat level by analyzing certain human emotions using neuro-fuzzy techniques

A novel security threat level detection system is proposed based on a number of human physiological variables such as electroencephalography, heart rate and others which are utilized to detect a set of negative emotions such as anger, fear, anxiety, and fear imminent threat, which are considered as security related emotions. Based on the detected emotions the proposed model will be able to determine the security threat level, e.g. low, moderate, high, substantial, and critical. Several models are presented; each corresponds to a particular security alert demand.