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We present privacy resources in IoT as data, information, and knowledge. We construct a privacy protection architecture on our previously proposed DIKW graphs: Data Graph, Information Graph, and Knowledge Graph. On this architecture, we search privacy protection target resources both as they appear explicitly in their original types and as they appear implicitly which means that they are expressed not in their original types. For a single privacy protection target, it may have various concrete compositions in various layers of DIKW Graph. It becomes more complex since the implementation of a privacy target might also be intertwined with the implementation of other privacy targets. We propose to protect target resources according to their types by either isolating the elements comprising an implementation, or weakening relationships among elements comprising an implement.To optimize among several choices of implementing a protection in a business environment, we introduced the tradeoff between customers’ expectations/investment and privacy providers’ expectation. Thereafter we proposed to prioritize implementation according to their ratio of cost/benefit. Keywords—Internet of Things; typed resources; privacy provision; Knowledge Graph

Towards Cost Effective Privacy Provision for Typed Resources in IoT Environment (S)