| Summary: | In this paper, we address the conflict in the
collection, use and management of Big Data at the intersection of
security and privacy requirements and the demand of innovative
uses of the data. This problem is exaggerated in the context of the
Internet of Things (IoT). We propose a three-part decomposition
of the design space, in order to clarify requirements and
constraints. To reach this final analysis, we begin by clarifying
the challenges in the design space: (1) there is little agreement on
what is meant by IoT, and in particular the security and privacy
implications of different definitions; (2) we then consider the
requirement and constraints on the big data that result from
various IoT system designs; (3) in parallel, we examine the
intricacies of the demand for innovation from the both the legal
and economic perspectives. In this context, we then can
decompose the set of drivers and objectives for security/privacy
of data as well as innovation into (1) the regulatory and social
policy context, (2) economic and business context, and (3)
technology and design context. By identifying these distinct
objectives for the design of IoT Big Data management, we
propose that more effective design and control is possible at the
intersection of these forces, through an iterative process of review
and redesign.
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