On the Security of an IoT-based Intelligent Transportation Service

Within the Internet of Things (IoT) ecosystem, an intelligent transportation service may incorporate data sharing with third-party services to enhance fast and accurate decision-making. In essence, this IoT-based transportation service may dynamically adapt an extra-domain one and adjusts several service lifecycle and key-processes, such as the fleet management. The depth of this adaptation can be highlighted by possible changes of the service’s security. However, the literature seems to lack an IoT-based service security assessment which also considers such IoT features. In this work, we rely on the stochastic modeling method to depict the data flow changes in regard to the fleet management using the Petri net ontology. The fleet management process is evaluated in two customised real-life scenarios to highlight how third-party data flow changes can affect this process lifecycle. Then, we assess the security for the two scenarios to estimate the degree in which the service is affected. The modeling process and the security assessment show that the third-party data type is related to the transportation service and the fleet management key-process in terms of their operation and security.

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