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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 

  1. Because of their portability, electric motorcycles are usually pushed into elevators by residents and charged in the home, which has serious safety risks. Traditional manual-based methods to manage this behavi...

    Authors: Zongwei Zhu, Jing Cao, Tiancheng Hao, Wenjie Zhai, Bin Sun, Gangyong Jia and Ming Li

    Citation: Journal of Cloud Computing 2020 9:41

    Content type: Research

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  2. The two-phase commit (2PC) protocol is a key technique for achieving distributed transactions in storage systems such as relational databases and distributed databases. 2PC is a strongly consistent and central...

    Authors: Pan Fan, Jing Liu, Wei Yin, Hui Wang, Xiaohong Chen and Haiying Sun

    Citation: Journal of Cloud Computing 2020 9:40

    Content type: Research

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  3. Video streaming is critical in IoT systems, enabling a variety of applications such as traffic monitoring and health caring. Traditional adaptive bitrate streaming (ABR) algorithms mainly focus on improving In...

    Authors: Zeng Zeng, Hang Che, Weiwei Miao, Jin Huang, Hao Tang, Mingxuan Zhang and Shaqian Zhang

    Citation: Journal of Cloud Computing 2020 9:38

    Content type: Research

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  4. Inter-city highway plays an important role in modern urban life and generates sensory data with spatio-temporal characteristics. Its current situation and future trends are valuable for vehicles guidance and t...

    Authors: Weilong Ding, Yanqing Xia, Zhe Wang, Zhenyu Chen and Xingyu Gao

    Citation: Journal of Cloud Computing 2020 9:25

    Content type: Research

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