Fog-based Crime-Assistance in Smart IoT Transportation Systems

Neto, Augusto; Zhao, Zhongliang; Rodrigues, Joel; Camboim, Hugo; Braun, Torsten (2018). Fog-based Crime-Assistance in Smart IoT Transportation Systems. IEEE access, 6, pp. 11101-11111. IEEE 10.1109/ACCESS.2018.2803439

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> Smart Transportation Safety (STS) envisions improving public safety through a significant paradigm shift from today's reactive way for police authority responses on crimes towards a pro-active one. The application of smart surveillance in STS is critical for automatic and accurate identification of events in case of security threats in target environments. Cloud computing reduces costs and high resource consumption of smart surveillance capable STS systems, at the cost of introducing additional latency through far away centralized systems. In this work, the Fog-FISVER framework applies fog computing in smart video surveillance capable STS to enhance crime assistance with low delay. Through Fog-FISVER, in-vehicle and fog infrastructures support autonomous and real-time crime detection on public bus services. A Fog-FISVER laboratory prototype was created and extensive evaluations in a real testbed were performed. Results show that Fog-FISVER delivers outstanding system performance and device survivability behavior over typical STS use cases.

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