We See You: Terrorist Prediction Framework through Psychological and Social Behaviors

Abstract

Over the last decades, terroristic attacks have caused human tragedies and loss of human life and materials and had negative impact on the economy and the development of the world. There have been over 48,000 terrorist incidents from 2000 to 2014 claiming over 107,000 lives according to the Global Terrorism Index GTI. Therefore, there is an urgent need for a system to proactively detect and predict any potential threats that can be caused by terrorist attacks. Artificial Intelligence (AI), Internet of things (IoT), and cloud technology can be integrated to prevent terroristic attacks. In this paper, I propose a novel framework called “We See You” (WSY). WSY is a complete comprehensive system framework which proposed to prevent and reduce the terroristic attacks by predicting any instance of terrorist attack. The prediction is based on monitoring the ongoing psychological and social behaviors, some important physiological signs and other markers, using IoT devices. Physiological signs related to the terrorist attacks include the blood concentration in the face, the eyes spotting, the gait, the hair and hair shaving, the face expressions, and the weight. The other personal markers include the clothes, the speech, the speech stress & emotion, and the smell. The prediction is based on the analysis of previous individual terrorist’s profile (built from News, law enforcement records, etc.), and previous recording cases of video and audio of terrorist incidents. To the best of my knowledge, this framework system is the first framework that proposed to predict and identify the terrorist timely before the implementation of the suicide incidents, through the psychological and social behaviors, speech, some important physiological signs and other markers.