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Design of Intrusion Detection System Using GA and CNN for MQTT-Based IoT Networks

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Abstract

With the advancement of technology, Internet of Things (IoT) devices are integrated with smart homes, smart cities, intelligent medical systems, industries, smart cars, and many more applications to monitor and control them. These devices are connected to different heterogeneous environments and have many environmental constraints such as power, bandwidth, resources, etc. Unfortunately, this makes them attractive targets for attackers to perform malicious behaviours. It necessitates updating the current intrusion detection system (IDS) to cope with existing and new challenges. This paper proposes an IDS to secure a Message Queuing Telemetry Transport (MQTT)-based IoT environment. The MQTT does not use robust encryption algorithms to encrypt the transmitted data for fast communication, which makes the networks vulnerable to intruders and network attacks. The proposed model selects essential features using a genetic algorithm, and these selected features are used to train a convolutional neural network model for network packet classification. We have used the MQTT-IoT-IDS2020 dataset to analyze and measure the model’s performance. The test results are promising and prove that the proposed scheme can identify potential intrusions in the MQTT networks.

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Data Availability

No data was generated during the research to disclose. No code is available to share.

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Funding

The authors hereby declare that there was no full or partial financial support from any organization.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Patna, Patna, 800005, India

    Asimkiran Dandapat & Bhaskar Mondal

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  1. Asimkiran Dandapat
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  2. Bhaskar Mondal
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Contributions

Asimkiran Dandapat carried out the experiments and drafted the main manuscript text, Dr. Bhaskar Mondal conceptualized, supervised, and prepared all the figures and did the proofreading. All authors equally contributed to the scientific work and reviewed the manuscript.

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Correspondence to Bhaskar Mondal.

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Dandapat, A., Mondal, B. Design of Intrusion Detection System Using GA and CNN for MQTT-Based IoT Networks. Wireless Pers Commun 134, 2059–2082 (2024). https://doi.org/10.1007/s11277-024-10984-w

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