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FBDR-Fuzzy Based DDoS Attack Detection and Recovery Mechanism for Wireless Sensor Networks

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Abstract

Wireless sensor networks (WSN) is considered as one of the exploring technology for its deployment of the massive number of dedicated sensor nodes which sense the environment and collect the data. The collected data are sent to the sink node through the intermediate nodes. Since the sensors node data are exposed to the internet, there is a possibility of vulnerability in the WSN. The common attack that affects most of the sensor nodes is the Distributed Denial of Services (DDoS) attack. This paper aims to identify the DDoS (Flooding) attack quickly and to recover the data of sensor nodes using the fuzzy logic mechanism. Fuzzy based DDoS attack Detection and Recovery mechanism (FBDR) uses type 1 fuzzy logic to detect the occurrence of DDoS attack in a node. Similarly fuzzy- type 2 is used for the recovery of data from the DDoS attack. Both the type 1 fuzzy-based rule and type 2 fuzzy-based rule perform well in terms of identifying the DDoS attack and recover the data under attack. It also helps to reduce the energy consumption of each node and improves the lifetime of the network. The proposed FBDR scheme is also compared with other related existing schemes. The proposed method saves energy usage by up to 20% compared with the related schemes. The experimental results represent that the FBDR method works better than other similar schemes.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India

    P. J. Beslin Pajila

  2. Department of Computer Science and Engineering, Regional Campus, Anna University, Tirunelveli, Tamil Nadu, India

    E. Golden Julie

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

    Y. Harold Robinson

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  1. P. J. Beslin Pajila
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  2. E. Golden Julie
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  3. Y. Harold Robinson
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Contributions

P. J. Beslin Pajila: Writing—original draft, Writing—review & editing, Conceptualization, Data curation. E. Golden Julie: Data curation, Validation, Formal analysis, Supervision. Y. Harold Robinson: Conceptualization, Data curation.

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Correspondence to P. J. Beslin Pajila.

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Pajila, P.J.B., Julie, E.G. & Robinson, Y.H. FBDR-Fuzzy Based DDoS Attack Detection and Recovery Mechanism for Wireless Sensor Networks. Wireless Pers Commun 122, 3053–3083 (2022). https://doi.org/10.1007/s11277-021-09040-8

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