Trust Management for Ubiquitous Healthcare

As the cornerstone of effective patient-physician relationships in the traditional healthcare infrastructures, trust faces new opportunities and challenges in the ubiquitous healthcare. Ubiquitous healthcare enables the agents acquire more information on trust evaluation through effectively resource sharing. Yet ubiquitous healthcare also lays the agents in a more dynamic and uncertainty environment for the trust evaluations. This paper contributes to develop a distributed trust management for the ubiquitous healthcare. Our trust management infrastructure is responsible for evaluating the trust value and assigning access rights based on the trust value. Based on each agent´s confidence of its personal experience on other agents, three naive Bayes classifier based algorithms are introduced for the trust evaluation: the robust experience algorithm, the weak experience algorithm and the no experience algorithm. The simulation results show the feasibility and effectiveness of our trust management in the ubiquitous healthcare.