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An Intrusion Detection and Prevention Protocol for Internet of Things Based Wireless Sensor Networks

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Abstract

Because of the heavy data and communication advances, the utilization of Internet of Things (IoT) gadgets has expanded dramatically. In the improvement of IoT, Wireless Sensor Network (WSN) plays out a crucial part and involves easy keen gadgets for data gathering. In any case, such savvy gadgets have requirements regarding calculation, preparing, memory, and energy assets. Alongside such requirements, the major difficulties for WSN are to accomplish dependability with the security of communicated information in a weak climate alongside pernicious nodes. This paper intends to build up an Anomalous Intrusion Detection Protocol and Intrusion Prevention Protocol for interruption evasion in IoT dependent on WSN to expand the network time frame and information reliability. The proposed framework makes dissimilar energy-efficient groups dependent on the natural characteristics of nodes. Also, in view of the (k, n) limit related Shamir mystery sharing plan, the unwavering quality also, the security of the tangible data within the Base Station and group head are accomplished. The proposed security conspires demonstrates a trivial answer to adapt to interruptions produced by malignant nodes. The trial results utilizing the network test system Network Simulator-2 show that the proposed directing convention accomplished improvement as far as network lifetime, end-to-end delay as 24%, packet delay ratio as 30%, when contrasted and the current work under unique network characteristics.

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Acknowledgements

This paper is funded in part by the Ministry of Science and Technology of Vietnam, under Grant No. ĐTĐLCN.105/21-C.

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Authors and Affiliations

  1. Department of IT, PSNA College of Engineering and Technology, Dindigul, India

    Rajkumar Krishnan & A. Sangeetha

  2. Department of Electronics and Communication Engineering, SCAD College of Engineering and Technology, Tirunelveli, India

    R. Santhana Krishnan

  3. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

    Y. Harold Robinson

  4. Department of Computer Science and Engineering, Anna University Regional Campus, Tirunelveli, India

    E. Golden Julie

  5. Faculty of Information Technology, University of Technology–Logistics of Public Security, Bac Ninh, Vietnam

    Hoang Viet Long

  6. Department of Computer Science and Engineering, SCAD College of Engineering and Technology, Tirunelveli, India

    M. Subramanian

  7. Department of Computer Science and Engineering, GIET University, Gunupur, India

    Raghvendra Kumar

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  1. Rajkumar Krishnan
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  2. R. Santhana Krishnan
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  3. Y. Harold Robinson
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  4. E. Golden Julie
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  5. Hoang Viet Long
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  6. A. Sangeetha
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  7. M. Subramanian
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  8. Raghvendra Kumar
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Correspondence to Hoang Viet Long.

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Krishnan, R., Krishnan, R.S., Robinson, Y.H. et al. An Intrusion Detection and Prevention Protocol for Internet of Things Based Wireless Sensor Networks. Wireless Pers Commun 124, 3461–3483 (2022). https://doi.org/10.1007/s11277-022-09521-4

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