A model for increasing the security of internet of things in smart transportation systems

The usability of the Internet of Things (IOT) is accelerated by making intelligent and equipping different machines and devices with smart sensors. IOT is used in smart cities, transportation, construction cases. IOT has the capability to provide real-time information for drivers and citizens to design their routes to avoid traffic and reduce fuel consumption. However, there is a significant number of IOT barriers to IOT utilization such as the distrust of users and managers in sharing information, suspicion to privacy and the ease of using the relevant applications. Despite the importance of these factors, a model for predicting the use of this technology for specific disciplines has not yet been developed, especially for developing countries. Therefore, this research attempts to propose a model for prediction of application, taking into account the increased security of IOT in intelligent transportation. To this end, influential constructs on user trust were collected and tested by questionnaire from 62 experts. The data were analyzed using Smart PLS using confirmatory factor analysis. The results show that 11 hypotheses in the research have been confirmed. The results of this study are very important for technology specialists and urban managers to establish the IOT in the field of urban transport.