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Deep Learning Approaches for IoT Security in the Big Data Era

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Combating Security Challenges in the Age of Big Data

Abstract

The confluence of innovative technologies in wireless communications led to the evolution of the Internet of Things (IoT). According to recent studies, this cartel of things entrenched with electronic components, software, sensors, actuators coupled with the Internet, will increase to 50 billion by 2020. The giant stride in the number of IoT devices makes them the major genesis of data. IoT is triggering a massive influx of big data. To reap out the maximum efficacy of IoT, the massive amount of data is harnessed and converted to actionable insights utilizing the big data analytics. This makes the Internet of Things more intelligent than mere monitoring devices. Big data and IoT works well conjointly to offer analysis and insights. With the conjunction of the Internet of things, big data analytics shift the computing paradigm to the edges for real-time decision making.

He who would search for pearls must dive below

John Dryden

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Author information

Authors and Affiliations

  1. Indian Institute of Information Technology and Management – Kerala (IIITM-K), Kazhakkoottam, Kerala, India

    K. S. Sunitha Krishnan

  2. Cochin University of Science and Technology, Kochi, Kerala, India

    K. S. Sunitha Krishnan

  3. Indian Institute of Information Technology and Management – Kerala (IIITM-K), Trivandrum, Kerala, India

    Sabu M. Thampi

Authors
  1. K. S. Sunitha Krishnan
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  2. Sabu M. Thampi
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Correspondence to Sabu M. Thampi .

Editor information

Editors and Affiliations

  1. ATAC, Lakehead University, Thunder Bay, ON, Canada

    Zubair Md. Fadlullah

  2. Department of Computer Science and Engineering Independent University, Bangladesh (IUB), Dhaka, Bangladesh

    Al-Sakib Khan Pathan

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Sunitha Krishnan, K.S., Thampi, S.M. (2020). Deep Learning Approaches for IoT Security in the Big Data Era. In: Fadlullah, Z., Khan Pathan, AS. (eds) Combating Security Challenges in the Age of Big Data. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-35642-2_6

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  • DOI: https://doi.org/10.1007/978-3-030-35642-2_6

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  • Online ISBN: 978-3-030-35642-2

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