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Modeling and Analysis of Worm Propagation in Wireless Sensor Networks

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Abstract

The wireless sensor networks (WSNs) have imminent constrains that makes security a crucial issue. Weak defense capability makes WSN a soft target against worm attacks. A single compromised node can spread the worm via communication in the entire network. In this paper, we propose a mathematical model that studies the epidemic behavior of such digital worms. Furthermore, we study the effect of these worms with various communication radius and node distributed density. We investigate the proposed model using the stability theory of differential equations. Basic reproduction number is found that helps us to find the threshold values for communication radius and node density distribution. The proposed model is checked and validated through extensive simulation results. Finally, we compare our scheme with the existing schemes. Comparison analysis shows that the proposed model is efficient as it has the low rate of the infectious node for different communication radius.

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Acknowledgements

Authors are very thankful to D.P. Singh for various fruitful discussions which helped us to improve our work.

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Authors and Affiliations

  1. Gautam Buddha University, Greater Noida, India

    Akansha Singh & Amit K. Awasthi

  2. Jawaharlal Nehru University, Delhi, India

    Karan Singh

  3. Galgotias College of Engineering and Technology, Greater Noida, India

    Pramod K. Srivastava

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  1. Akansha Singh
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  2. Amit K. Awasthi
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  3. Karan Singh
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  4. Pramod K. Srivastava
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Correspondence to Akansha Singh.

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Singh, A., Awasthi, A.K., Singh, K. et al. Modeling and Analysis of Worm Propagation in Wireless Sensor Networks. Wireless Pers Commun 98, 2535–2551 (2018). https://doi.org/10.1007/s11277-017-4988-3

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  • DOI: https://doi.org/10.1007/s11277-017-4988-3

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