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Accelerated Neural Intrusion Detection for Wireless Sensor Networks

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1263))

Abstract

Wireless sensor networks (WSNs) form an important layer of technology used in smart cities, intelligent transportation systems, Industry, Energy, Agriculture 4.0, the Internet of Things, and, for example, fog and edge computing. Cybernetic security of such systems is a major issue and efficient methods to improve their security and reliability are sought. Intrusion detection systems (IDSs) automatically detect malicious network traffic, classify cybernetic attacks, and protect systems and their users. Neural networks are used by a variety of intrusion detection systems. Their efficient use in WSNs requires both learning and optimization and very efficient implementation of the detection. In this work, the acceleration of a neural intrusion detection model, developed specifically for wireless sensor networks, is proposed, studied, and evaluated.

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Acknowledgements

This work was supported from ERDF in project “A Research Platform focused on Industry 4.0 and Robotics in Ostrava”, reg. no. CZ.02.1.01/0.0/0.0/17_049/ 0008425 and by the grants of the Student Grant System no. SP2020/108 and SP2020/161, VSB - Technical University of Ostrava, Czech Republic.

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Authors and Affiliations

  1. VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava, Czech Republic

    Tarek Batiha & Pavel Krömer

Authors
  1. Tarek Batiha
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  2. Pavel Krömer
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Corresponding author

Correspondence to Tarek Batiha .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

    Kin Fun Li

  3. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Batiha, T., Krömer, P. (2021). Accelerated Neural Intrusion Detection for Wireless Sensor Networks. In: Barolli, L., Li, K., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2020. Advances in Intelligent Systems and Computing, vol 1263. Springer, Cham. https://doi.org/10.1007/978-3-030-57796-4_20

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