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Addressing Security and Computation Challenges in IoT Using Machine Learning

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Advances in Distributed Computing and Machine Learning

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 127))

Abstract

The Internet of things (IoT) is widely used to implement different applications like smart home, smart health care, smart city, and smart farming system. The development of large smart devices/sensors enables smart technologies making it possible to implement the smart application in real time. The IoT system has security challenges like authentication, data privacy, access control, and intrusion detection system. Similarly, the computation of the sensed information from the environment is a challenging task. The computation must perform using distributed or decentralized architecture to overcome the centralized system difficulty. In a distributed/decentralized system when multiple nodes participate in a computational process, there is the risk of mutual consensus problem, malicious node detection, or data modification attacks. In this paper, the authors have identified machine learning as a solution to address some of the existing security and computational challenges. The paper also explained the implementation platform available for the integration of IoT with machine learning.

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Author information

Authors and Affiliations

  1. Information Security Laboratory, IIIT Bhubaneswar, Odisha, 751003, India

    Bhabendu Kumar Mohanta, Utkalika Satapathy & Debasish Jena

Authors
  1. Bhabendu Kumar Mohanta
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  2. Utkalika Satapathy
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  3. Debasish Jena
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Corresponding author

Correspondence to Bhabendu Kumar Mohanta .

Editor information

Editors and Affiliations

  1. Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Asis Kumar Tripathy

  2. San Diego State University, San Diego, CA, USA

    Mahasweta Sarkar

  3. Institute of Technical Education and Research (ITER), Siksha ‘O’ Anusandhan (SOA) Deemed to be University, Bhubaneswar, Odisha, India

    Jyoti Prakash Sahoo

  4. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Suchismita Chinara

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Mohanta, B.K., Satapathy, U., Jena, D. (2021). Addressing Security and Computation Challenges in IoT Using Machine Learning. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_7

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