With the rapid(v growing development ~f applications in open virtual enterprises. privacy is becoming a critical issue. This paper presents an agentbased architecture that provides coordination services. with specialfoclls on capability-based integration as brokering services. These services take into consideration any privacy desires that may be required from various participants in an open. dynamic. and heterogeneous environment. A pro~f-~f concept prototype system has been implemented to support and provide information-gathering services in healthcare environments.
Healthcare services and systems become very complex and encompass a vast number of entities (software systems, doctors, patients, etc.) that are characterized by shared, distributed and heterogeneous information sources with varieties of clinical and medical settings. A major challenge of brokering in open environments is to support privacy. Within the context of brokering, we model privacy in terms of the entities’ ability to hide or reveal information related to its identities, requests, and/or capabilities. In this work we present a privacy-based multi-agent information brokering architecture that supports different privacy degrees. Unlike traditional approaches, the brokering is viewed as a set of services in which the brokering role is further classified into several sub-roles each with a specific architecture and interaction protocol that is appropriate to support a required privacy degree. The proposed architecture has been implemented using coordinated intelligent, rational agent (CIR-agent) model for cooperative distributed information e-health prototype using (JADE), FIPA-complaint platform.
Ubiquitous healthcare is an emerging technology that promises increases in efficiency, accuracy and availability of medical treatment; however it also introduces the potential for serious abuses including major privacy violations. Brokering is a capability-based coordination approach for ubiquitous healthcare Systems (UHS). A major challenge of brokering in open environments is to support privacy. Within the context of brokering, the authors model privacy in terms of the entities’ ability to hide or reveal information related to its identities, requests, and/or capabilities. This work presents a privacy-based multi-agent brokering architecture that supports different privacy degrees. Unlike traditional approaches, the brokering is viewed as a set of services in which the brokering role is further classified into several sub-roles each with a specific architecture and interaction protocol that is appropriate to support a required privacy degree. To put the formulation in practice, a prototype of the proposed architecture has been implemented to support information-gathering capabilities in healthcare environments using FIPA-complaint platform (JADE).
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