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Tracking Criminal Events through IoT Devices and an Edge Computing Approach

: Tundis, Andrea; Kaleem, Humayun; Mühlhäuser, Max


Institute of Electrical and Electronics Engineers -IEEE-:
28th International Conference on Computer Communication and Networks (ICCCN 2019) : Valencia, Spain 29 July – 1 August 2019
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-1856-7
ISBN: 978-1-7281-1855-0
ISBN: 978-1-7281-1857-4
International Conference on Computer Communication and Networks (ICCCN) <28, 2019, Valencia>
European Commission EC
H2020; 700688; TAKEDOWN
Fraunhofer SIT ()
criminal law; distributed processing; Internet of Things; law administration; police data processing; terrorism; IoT device; criminal activities; terrorist activities; PFs; police forces (PFs); criminal events tracking; edge computing; law enforcement agencies (LEAs); Safety; Law enforcement; Collaboration; Smart phones; Edge computing; Computational modeling

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 propos ed 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.