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Analyzing Malware Propagation on Wireless Sensor Networks: A New Approach Using Queueing Theory and HJ-Biplot with a SIRS Model

Author

Listed:
  • Elisa Frutos-Bernal

    (Department of Statistics, Universidad de Salamanca, 37007 Salamanca, Spain)

  • Miguel Rodríguez-Rosa

    (Department of Statistics, Universidad de Salamanca, 37007 Salamanca, Spain)

  • María Anciones-Polo

    (Department of Statistics, Universidad de Salamanca, 37007 Salamanca, Spain)

  • Ángel Martín-del Rey

    (Department of Applied Mathematics, Universidad de Salamanca, 37008 Salamanca, Spain)

Abstract

Most research on malware focuses mainly on its detection, without paying attention to its propagation trends. However, modeling the spread of malware is an important research problem because it allows us to predict how malware will evolve and to take steps to prevent its propagation, hence the interest in analyzing this spread from a statistical point of view. This work proposes a malware propagation prediction methodology based on multivariate statistical techniques such as HJ-Biplot in combination with closed queuing networks. Datasets generated using individual-based SIRS models are used to validate the proposed methodology, although any other model could have been chosen to test its validity. Experimental results show that the proposed model can effectively predict and classify malware and discover the influence of different model parameters on the malware propagation situation.

Suggested Citation

  • Elisa Frutos-Bernal & Miguel Rodríguez-Rosa & María Anciones-Polo & Ángel Martín-del Rey, 2023. "Analyzing Malware Propagation on Wireless Sensor Networks: A New Approach Using Queueing Theory and HJ-Biplot with a SIRS Model," Mathematics, MDPI, vol. 12(1), pages 1-16, December.
  • Handle: RePEc:gam:jmathe:v:12:y:2023:i:1:p:135-:d:1311202
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    References listed on IDEAS

    as
    1. Zijian Fang & Peng Zhao & Maochao Xu & Shouhuai Xu & Taizhong Hu & Xing Fang, 2022. "Statistical modeling of computer malware propagation dynamics in cyberspace," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(4), pages 858-883, March.
    2. Amir Ahmadi-Javid & Mohammadreza Fathi, 2022. "Design of multi-service systems with facilities functioning as open Jackson queueing networks: application to online shopping stores," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1255-1286, December.
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