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Encyclopedia of Big Data Technologies pp 325–330Cite as

Big Data Stream Security Classification for IoT Applications

Abstract

Internet of Things (IoT) becomes a key source to big sensing data streams. Big data streams become a key research issue to process in a resource-constrained IoT devices, but security concerns in big sensing data streams are still an open research problem. This paper presents an overview of the big data stream security classifications in the context of IoT infrastructure. The basics toward the cybersecurity threats and potential solution for big data stream environment are highlighted. Finally the paper classified the security threats based on CIA (confidentiality, integrity, and availability) triad classifications.

Keywords

  • Internet of Things
  • Big data streams
  • Security
  • Security threats
  • Quality of service

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  • DOI: 10.1007/978-3-319-77525-8_236
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Big Data Stream Security Classification for IoT Applications, Fig. 1

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Author information

Authors and Affiliations

  1. Faculty of Engineering and Information Technologies, School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia

    Deepak Puthal

  2. School of Computing Science, Newcastle University, Newcastle upon Tyne, UK

    Rajiv Ranjan

  3. School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia

    Jinjun Chen

Authors
  1. Deepak Puthal
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  2. Rajiv Ranjan
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  3. Jinjun Chen
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Corresponding author

Correspondence to Deepak Puthal .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Sherif Sakr

  2. School of Information Technologies, Sydney University, Sydney, Australia

    Albert Y. Zomaya

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Puthal, D., Ranjan, R., Chen, J. (2019). Big Data Stream Security Classification for IoT Applications. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_236

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