| Title |
Tracking Criminal Events through IoT devices and an Edge Computing approach |
| ID_Doc |
43502 |
| Authors |
Tundis, A; Kaleem, H; Mühlhäuser, M |
| Title |
Tracking Criminal Events through IoT devices and an Edge Computing approach |
| Year |
2019 |
| Published |
|
| DOI |
|
| 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. |
| Author Keywords |
IoT; Safety; Smart City; Simulation; Crime Tracking; Terrorism |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000533348400037 |
| WoS Category |
Computer Science, Hardware & Architecture; Computer Science, Theory & Methods; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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