Tracking Criminal Events through IoT Devices and an Edge Computing Approach

Abstract

The occurrence of criminal and terrorist activities is one of the biggest problems which is afflicting the current society. Indeed, criminal events are both hard to predict and difficult to handle once they take place. The classic methods applied by Police Forces (PFs) and Law Enforcement Agencies (LEAs) are in fact not effective, in terms of time management, communication and countermeasures, because of gaps among the occurrence of the criminal event, its identification and the intervention of the PFs for its management. In this regard, this paper proposes a solution which aims to enhance the communication and collaboration among citizens and police forces. It is based on an IoT app which exploits the edge computing approach to face with the above mentioned gaps. In particular, the proposed model as well as the algorithm, along with their main features, are described. The operation logic is then exemplified through the implementation of a simulator that shows its functioning.