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IoT Botnet: The Largest Threat to the IoT Network

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Data Communication and Networks

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1049))

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Abstract

Adoption of the IoT technology is expanding exponentially. It is capable of providing a better service. IoT technology is successfully implemented on the bulb, refrigerator, air conditioner, washing machine, wristwatches, mobile phones, etc. Gartner report reflects that growth in the number of IoT devices is massive. By 2025, the number of IoT devices may reach up to 50 Billion. This growth poses an enormous range of challenges. The challenges are communication, interoperability, integration, data handling, privacy, and security. The major challenge is security. This paper focuses on different types of possible attacks on IoT and how the IoT botnet is gaining more attention and becoming a major attack. It highlights the key difference between traditional botnet and IoT botnet. Review of the existing techniques to deal with a botnet as well as the urge for a different technique to deal with IoT botnet is discussed.

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Author information

Authors and Affiliations

  1. Fr. C. Rodrigues Institute of Technology, Vashi, India

    Smita Dange

  2. Pillai HOC College of Engineering and Technology, Rasayani, India

    Madhumita Chatterjee

Authors
  1. Smita Dange
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  2. Madhumita Chatterjee
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Corresponding author

Correspondence to Smita Dange .

Editor information

Editors and Affiliations

  1. Faculty of Engineering and IT, University of Technology Sydney, Broadway, NSW, Australia

    Lakhmi C. Jain

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    George A. Tsihrintzis

  3. Department of Automation and Applied Informatics, “Aurel Vlaicu” University of Arad, Arad, Romania

    Valentina E. Balas

  4. Department of Computer Engineering and Applications, Institute of Engineering and Technology, GLA University, Mathura, India

    Dilip Kumar Sharma

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Dange, S., Chatterjee, M. (2020). IoT Botnet: The Largest Threat to the IoT Network. In: Jain, L., Tsihrintzis, G., Balas, V., Sharma, D. (eds) Data Communication and Networks. Advances in Intelligent Systems and Computing, vol 1049. Springer, Singapore. https://doi.org/10.1007/978-981-15-0132-6_10

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  • DOI: https://doi.org/10.1007/978-981-15-0132-6_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0131-9

  • Online ISBN: 978-981-15-0132-6

  • eBook Packages: EngineeringEngineering (R0)

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