Diagnosis Model for Detection of e-threats Against Soft-Targets

Threats online - internet, social media platforms, blogs - has risen with development of cybernetics tools of communication. Since the threats against soft targets are recurrent on cyberspace, the focus becomes an e-threat. This paper aims to contribute to construct a roadmap to apprehend e-threats against soft targets, considering the triangle ground of coexistence – normative, empirical and theoretical. An all-inclusive guide amalgamates the concepts of e-threats detections, risk, IA, soft targets, is developed to understand processes. The awareness of the added-value and the limitations of the integration of this technology in policing, is an initiative whose enforcement is legitimized and stranded in a simple concept of security. Despite the IA advances, and its efficiency for detection, the process is complex, because deceptive behaviour has a multidimensional nature. Our analysis reveals that the disruptive potential of e-threats of soft targets is tackled and some orientations are given to guarantee the safety and security of crowds.