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Edge computing security and privacy

With the development of Internet of Things, more and more powerful devices are mediating our daily life. Gartner predicts that there will be 20.4 billion IoT devices by 2020. This will also result in massive data generated by billions of sensors and devices. Meanwhile the increasing demand for advanced services and applications, such as virtual reality, augmented reality and infrastructure for smart cities, has created huge challenges on cloud computing. Edge computing has been proposed as a new computing paradigm where resources like computation and storage are placed closer to the data source. It enables a new class of latency and bandwidth sensitive applications as data can be processed at the nearest edge. Without sending data to the cloud, edge computing therefore enhances  security and privacy. This thematic series aims to collect the most relevant ongoing research efforts in edge computing security and privacy.

Edited by:

Yin Li, Zhejiang University, China
Guangjie Han, Hohai University, Changzhou, China 
Wenbing Zhao, Cleveland State University, Ohio, USA 
Xinheng Wang, University of West London, London, UK 

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