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Dynamic Task Scheduler for Real Time Requirement in Cloud Computing System Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Privacy-Aware Data Collection and Aggregation in IoT Enabled Fog Computing

Authors : Yinghui Zhang, Jiangfan Zhao, Dong Zheng, Kaixin Deng, Fangyuan Ren, Xiaokun Zheng

Published in: Algorithms and Architectures for Parallel Processing

Publisher: Springer International Publishing

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Abstract

With the rapid development of the Internet of Things (IoT), a large number of IoT device data has flooded into cloud computing service centers, which has greatly increased the data processing task of cloud computing. To alleviate this situation, IoT enabled fog computing comes into being and it is necessary to aggregate the collected data of multiple IoT devices at the fog node. In this paper, we consider a privacy-aware data collection and aggregation scheme for fog computing. Although the fog node and the cloud control center are honest-but-curious, the proposed scheme also ensures that the data privacy will not be leaked. Our security and performance analysis indicates that the proposed scheme is secure and efficient in terms of computation and communication cost.

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previous chapter Integrated Prediction Method for Mental Illness with Multimodal Sleep Function Indicators
next chapter A Reputation Model for Third-Party Service Providers in Fog as a Service
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Metadata
Title
Privacy-Aware Data Collection and Aggregation in IoT Enabled Fog Computing
Authors
Yinghui Zhang
Jiangfan Zhao
Dong Zheng
Kaixin Deng
Fangyuan Ren
Xiaokun Zheng
Copyright Year
2018
Book
Algorithms and Architectures for Parallel Processing

Print ISBN: 978-3-030-05062-7

Electronic ISBN: 978-3-030-05063-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-05063-4_44

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