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Scientific Article details

Title Improving Integration and Insight in Smart Cities with Policy and Trust
ID_Doc 43354
Authors Cohen, S; Money, W; Quick, M
Title Improving Integration and Insight in Smart Cities with Policy and Trust
Year 2014
Published
DOI 10.1145/2611040.2611091
Abstract This paper examines the issues of policy and trust in the context of IT infrastructures for Smart Cities. This paper proposes that trusted Smart city policies can lead to the development of trusted foundational service underlying all smart city solutions. Such a set services are critical for architectural choices of data integration and use within smart city domains, and will lead to the development of a marketplace where service providers and consumers engage in a free and fully informed exchange to choose worthy and reliable experiences to address everything from reporting street light outage to identifying economic advantages during city planning. It argues that two usually mutually exclusive architectural meta-models; Centralization and Federation, are required to achieve a set of trusted foundational services. It reviews the large array of options for implementing the marketplace component of the foundational services to support scenarios varying from fully isolated well known analytics to the anonymous access that allows potential users to browse for services without any controls. It concludes that Trusted Policies are highly important as successful ingredients in the development of foundational services and the following developmental stage, and in the operations and maintenance stages for integrated Smart city systems. It is critical that Smart cities systems implement city-wide policies that improve and sustain trust that in turn help Smart cities manage across the multitude of systems that are in both developmental and operational stages simultaneously, and will be so for many decades to come.
Author Keywords Policy; trust; foundational services; integrated solutions; IT
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000381010400058
WoS Category Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods
Research Area Computer Science
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