TrustS: Probability-based trust management system in smart cities

We live in the era of smart cities, but are the cities of today as smart as they claimƒ So far, this desideratum has been on the agenda of almost all decision-making factors worldwide and since then, smart cities have not hit their full potential. Even though there have been achieved important milestones in this process, we assume that the next generation of smart cities will improve the quality of life for citizens through connected and ubiquitous roads, vehicles, and urban environments. When we take into consideration such a massive amount of devices and data, it is crucial to ensure that the interconnected systems and trusted and reliable. Classical approaches for security are not suitable in these scenarios because of the heterogeneity of the interconnected nodes. Thus, in this paper, we present a trust management system for smart cities based on a novel Markov trust computation approach that is not dependent on the type of overlay network. We define a markovian system with four states for which we compute the stationary probabilities. We validate or model through simulation considering different characteristics of proposed systems. The results show that our trust model has a deterministic behavior and is suitable for smart city scenarios.