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Various research works are conducted to design and implement Internet of things (IoT) based healthcare systems. However, there are still several open issues and challenges that are needed to be carefully addressed focused on security and privacy. Especially, data centric solutions should be focused on the intelligent IoT networks. Thereby, the purpose of this paper is to propose research direction on data centric security and privacy model for intelligent IoT based healthcare applications. The withdrawn required research issues and directions are including deriving data centric IoT features and characteristics, definition of security and privacy threat model, developing data centric security and privacy model, designing data centric access control scheme, devising homomorphic encryption based data retrieval technique and research on data centric anonymity and untraceability techniques. In the upcoming eras, intelligent IoT based healthcare will be more and more applications because of its widespread adoption of IoT. Security and privacy provision should be the core part for the success of the intelligent IoT based healthcare applications. The author hopes the content could guide researcher future issues and directions on their researches.

Research Issues on Data Centric Security and Privacy Model for Intelligent Internet of Things based Healthcare