Efficient Agent Based Trust Threshold Model for Healthcare Cloud Applications

The field of agent technology and cloud computing have procured a new discipline called the agent-based cloud computing which provides the application of agent based techniques to cloud computing for further development of resource management, service management, service discovery and security. The emergence and exponential rise in the cloud computing opens up an array of trust and security concerns with regard to this pervasive technology. MAS technology is a different way of approaching the distributed system paradigm where multiple agents contribute to resolving tasks of interest cooperating with each other in a decentralized approach. This paper proposes an agent based trust threshold model that is efficient and secure in integrating and distributing Electronic Health Records (EHR) to the respective user. In addition, we introduce a novel trust model which is dynamically adaptable over time such that the agents can accurately classify users into maximum trust, average trust, minimum trust and malicious/quarantined. The results give a pronounced indication of the importance of considering both the parameters such as the action, O-a and frequency of the transactions of the user, Y, in order to accurately classify the respective users to establish a secure foundation for the system to run smoothly.