<p>Internet of Thing based healthcare ecosystems are extremely popular as they are built on a network of devices that are connected directly to one another in order to collect, share, and use important contextual information. However, in a cross-domain environment, the absence of a delicate, fine-grained access control mechanism may lead to the disruption or leakage of sensitive data. In addition, the plug-and-play nature of the users with wireless healthcare devices may result in disturbances in the accessibility of data. In this article, we propose a Fuzzy Trust-Based Access Control scheme for healthcare environment consisting of dynamically sensitive data. Trust being dynamic in nature has been considered an as attribute along with other static and dynamic attributes for the proposed scheme. The dynamic nature of trust as an attribute prompts us to use fuzzy logic for its calculation. Parameter-based analysis and security analysis exhibits that the proposed scheme is highly scalable in nature and is resilient to reply attack, Distributed-Denial-of-Service attack, and collusion attack. Further, the proposed access control scheme ensures proper delegation, high context awareness, high granularity, and ensures interoperability.</p>

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FTBAC: fuzzy trust based access control for healthcare cross-domain environment

  • Sujoy Roy,
  • Alok Kumar,
  • Udai Pratap Rao

摘要

Internet of Thing based healthcare ecosystems are extremely popular as they are built on a network of devices that are connected directly to one another in order to collect, share, and use important contextual information. However, in a cross-domain environment, the absence of a delicate, fine-grained access control mechanism may lead to the disruption or leakage of sensitive data. In addition, the plug-and-play nature of the users with wireless healthcare devices may result in disturbances in the accessibility of data. In this article, we propose a Fuzzy Trust-Based Access Control scheme for healthcare environment consisting of dynamically sensitive data. Trust being dynamic in nature has been considered an as attribute along with other static and dynamic attributes for the proposed scheme. The dynamic nature of trust as an attribute prompts us to use fuzzy logic for its calculation. Parameter-based analysis and security analysis exhibits that the proposed scheme is highly scalable in nature and is resilient to reply attack, Distributed-Denial-of-Service attack, and collusion attack. Further, the proposed access control scheme ensures proper delegation, high context awareness, high granularity, and ensures interoperability.