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Intrusion Detection System for the IoT: A Comprehensive Review

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Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) (SoCPaR 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1182))

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Abstract

The IoT has recently been widely used in smart homes and smart cities design. With various services and application domains. (IoT) connects objects with internet to make our life easier, which leads IoT environments vulnerable to different kinds of attacks. Threats to IoT are increasing due to large number of devices with different standards are connected. Intrusion Detection System (IDS) is used to protect from various types of attacks. Intrusion detection system (IDS) works in the network layer of an IoT system. This paper highlights the issues related IoT security, discusses literature on implementation of IDS for IoT using ML algorithms and also makes few suggestions. An IDS designed for IoT should operate under stringent conditions. More IDS have to be designed to detect major attacks to safe guard IoT.

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Author information

Authors and Affiliations

  1. Vardhaman College of Engineering, Hyderabad, India

    Akhil Jabbar Meera & Rajanikanth Aluvalu

  2. Sreyas Institute of Engineering & Technology, Hyderabad, India

    M. V. V. Prasad Kantipudi

Authors
  1. Akhil Jabbar Meera
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  2. M. V. V. Prasad Kantipudi
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  3. Rajanikanth Aluvalu
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Corresponding author

Correspondence to Akhil Jabbar Meera .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR), Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, Telangana, India

    M. A. Jabbar

  3. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Sanju Tiwari

  4. ISEP - Instituto Superior de Engenharia do Porto, Porto, Portugal

    Isabel M. S. Jesus

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Meera, A.J., Kantipudi, M.V.V.P., Aluvalu, R. (2021). Intrusion Detection System for the IoT: A Comprehensive Review. In: Abraham, A., Jabbar, M., Tiwari, S., Jesus, I. (eds) Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019). SoCPaR 2019. Advances in Intelligent Systems and Computing, vol 1182. Springer, Cham. https://doi.org/10.1007/978-3-030-49345-5_25

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