Submission Deadline: 1 October 2017
IEEE Access invites manuscript submissions in the area of Internet-of-Things (IoT) Big Data Trust Management.
Internet of Things (IoT) has been widely used in our daily life, and applications include smart home, wearables, smart city/grid, crowdsourcing, and connected car. The exponential increase in the number of diverse smart sensing devices has also resulted in a significant increase in the volume, variety, velocity and veracity of data (i.e. big data), leading to the advent of a new wave of computing driven by IoT and big data. In IoT smart systems, an entity (including both human, software, and machines) highly relies on other entities in the network with respect to security, privacy, trustworthiness of data, and trustworthiness of services. Trust management has, thus, emerged as a critical factor in system design, operations and management in the IoT big data era. This Special Section in IEEE Access is devoted to state-of-the-art developments and research outcomes addressing the related theoretical and practical aspects on the trust management of IoT big data, and aims to provide researchers and practitioners a platform to present innovative solutions.
The topics of interest include, but are not limited to:
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Associate Editor: Zheng Yan, Xidian University, China and Aalto University, Finland
Relevant IEEE Access Special Sections:
IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
Paper submission: Contact Associate Editor and submit manuscript to: