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Link to original content: https://doi.org/10.1007/s11277-024-11566-6
Detection of Wormhole Attack Via Bio-Inspired Ant Colony Optimization Based Trust Model in WSN Assisted IoT Network | Wireless Personal Communications Skip to main content
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Detection of Wormhole Attack Via Bio-Inspired Ant Colony Optimization Based Trust Model in WSN Assisted IoT Network

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Abstract

Wireless sensor networks are always a demanding field, no matter how technology advances in recent times. Energy efficiency and security are the major concerns for such networks. While energy efficiency has been taken care of using clustering techniques by many researchers in the past, those energy-efficient clustering techniques still do not focus on security issues. Many researchers in the past considered trust models for the sensor networks that prioritize the detection of packet-dropping malicious nodes by observing the packet forwarding behavior of the nodes in a promiscuous way. This work focuses on the wormhole attack in clustered WSNs for Internet of Things networks and proposes a bio-inspired Ant Colony Optimization trust model to counter the wormhole attack. The proposed model computes the direct trust of the nodes based on the pheromone concentration rather than packet forwarding behavior to avoid packet loss. The proposed model has been compared with existing techniques based on packet delivery ratio, number of packet drops, throughput, remaining energy of the network, average end-to-end delay, average control overhead, average energy consumption per node, and average jitter. Simulation has been done in network simulator 2.35 and results prove that the proposed model can detect the malicious nodes in an energy-efficient way and also causes fewer packet drops.

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Code Availability

The authors declare the availability of the working code of the NS2 simulator.

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Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Sant Baba Bhag Singh University, Jalandhar, Punjab, India

    Harmeet Singh

  2. Department of Computer Science and Engineering, Khalsa College of Engineering and Technology, Amritsar, Punjab, India

    Manju Bala

  3. Department of Computer Science and Engineering, Panjab University SSG Regional Centre, Hoshiarpur, Punjab, India

    Sukhvinder Singh Bamber

  4. Department of Computer Science, Guru Nanak Dev University College, Pathankot, Punjab, India

    Mohit Angurala

Authors
  1. Harmeet Singh
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  2. Manju Bala
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  3. Sukhvinder Singh Bamber
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  4. Mohit Angurala
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Correspondence to Mohit Angurala.

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Singh, H., Bala, M., Bamber, S.S. et al. Detection of Wormhole Attack Via Bio-Inspired Ant Colony Optimization Based Trust Model in WSN Assisted IoT Network. Wireless Pers Commun 138, 1649–1670 (2024). https://doi.org/10.1007/s11277-024-11566-6

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