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Privacy Preserving Intrusion Detection System for Low Power Internet of Things

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Computational Intelligence and Data Analytics

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 142))

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Abstract

The evolution of Internet of Things (IoT) has resulted in coexistence of multiple wireless communication networks made of resource-constrained devices over lossy communication links. This increased the density and complexity of existing computing and communication system, which in turn increased the vulnerabilities and privacy risk of low power IoT networks. The existing security mechanisms are not suitable for low power IoT containing resource-constrained devices which cannot implement computational intensive security algorithms. In this paper, a novel intrusion detection system with privacy preservation for 6LoWPAN, a low power IoT network is proposed. In the proposed system, intrusion detection was performed using agent mechanism and the privacy preservation is implemented using negative survey technique. The experimental results show that the proposed system is promising in terms of energy and privacy with low false alarm rate.

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Authors and Affiliations

  1. G. Narayanamma Institute of Technology and Science, Hyderabad, India

    S. Prabavathy & I. Ravi Prakash Reddy

Authors
  1. S. Prabavathy
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  2. I. Ravi Prakash Reddy
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Corresponding author

Correspondence to S. Prabavathy .

Editor information

Editors and Affiliations

  1. Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

  2. Computer Science School (FI), Technical University of Madrid, Madrid, Spain

    Susanna Munoz Hernandez

  3. Department of Information Technology, Vasavi College of Engineering, Hyderabad, India

    Ram Mohan Rao Kovvur

  4. Department of Information Technology, Vasavi College of Engineering, Hyderabad, India

    T. Hitendra Sarma

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Prabavathy, S., Reddy, I.R.P. (2023). Privacy Preserving Intrusion Detection System for Low Power Internet of Things. In: Buyya, R., Hernandez, S.M., Kovvur, R.M.R., Sarma, T.H. (eds) Computational Intelligence and Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol 142. Springer, Singapore. https://doi.org/10.1007/978-981-19-3391-2_44

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