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2020 | OriginalPaper | Chapter

Secure Big Data Transmission with Trust Management for the Internet of Things (IoT)

Authors : A. K. Fabi, Sabu M. Thampi

Published in: Combating Security Challenges in the Age of Big Data

Publisher: Springer International Publishing

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Abstract

Big data and Internet of Things (IoT) are the highly sought-after frameworks these days because IoT connects abundant amount of data which cannot be labeled and stored in the typical database system. Generating intelligent decisions from enormously increasing data in a real-time system is of major concern. Although big data seems to change our lives, it tries to make a burden in the computing environment due to the proliferation of data. In such a context, the efficient collection, processing, analyzing and secure storage are identified to be some of the crucial steps. The continuous flow of incoming data to the big data is the first and major challenge and this concern may play a key role in designing a viable and secure big data. In addition, the security issues can be even worse when the stored data include highly sensitive and confidential information. Therefore, if strong security measures are not applied in big data storage, it will cause some vital consequences. Trust management can be considered as a critical factor which operates seamlessly behind the scenes in IoT big data era to provide a reliable communication between devices. This chapter aims to disclose the trust management techniques prevailing in IoT with a special focus on big data technologies, and will outline the new developments and approaches that are applicable in these areas.

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Metadata
Title
Secure Big Data Transmission with Trust Management for the Internet of Things (IoT)
Authors
A. K. Fabi
Sabu M. Thampi
Copyright Year
2020
Book
Combating Security Challenges in the Age of Big Data

Print ISBN: 978-3-030-35641-5

Electronic ISBN: 978-3-030-35642-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-35642-2_1

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