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Modeling Malware Propagation Dynamics and Developing Prevention Methods in Wireless Sensor Networks

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Nonlinear Combinatorial Optimization

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 147))

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Abstract

Modeling malware propagation dynamics and developing prevention methods are very imperative with flourishing and advancement of WSN technologies in a variety of fields, such as smart cities. In the last decade, a lot of effort has been put into designing effective models to characterize the propagation dynamics of malware and developing effective prevention methods, with different focuses such as spatial–temporal model, pulse immunization, trade-off model between prevention cost and network utility, etc. This chapter reviews the state-of-the-art malware modeling and prevention method to present a comprehensive guide on how to choose a more appropriate approach for different applications. First, the application background and definitions of WSNs and malware are introduced, followed by the challenges of modeling malware propagation dynamics and developing prevention methods. Second, the recent advances in modeling and prevention methods are summarized. Third, four recently published papers that focus on spatial–temporal modeling, pulse immunization, and cost-efficiency trade-off are introduced. Finally, this chapter is ended by pointing out some possible future research directions.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Software Engineering, Miami University, Oxford, OH, USA

    Zaobo He

  2. School of Computer Science, Shaanxi Normal University, Shaanxi, Xi’an, China

    Yaguang Lin & Xiaoming Wang

  3. Department of Computer Science, Georgia State University, Atlanta, GA, USA

    Yi Liang, Akshita Maradapu Vera Venkata Sai & Zhipeng Cai

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  1. Zaobo He
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  2. Yaguang Lin
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  3. Yi Liang
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  4. Xiaoming Wang
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  5. Akshita Maradapu Vera Venkata Sai
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  6. Zhipeng Cai
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Corresponding author

Correspondence to Zhipeng Cai .

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Editors and Affiliations

  1. Department of Computer Science, The University of Texas at Dallas, Richardson, TX, USA

    Ding-Zhu Du

  2. Department of Industrial & Systems Engineering, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

  3. Department of Computer Science, Zhejiang Normal University, Jinhua, Zhejiang, China

    Zhao Zhang

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He, Z., Lin, Y., Liang, Y., Wang, X., Vera Venkata Sai, A.M., Cai, Z. (2019). Modeling Malware Propagation Dynamics and Developing Prevention Methods in Wireless Sensor Networks. In: Du, DZ., Pardalos, P., Zhang, Z. (eds) Nonlinear Combinatorial Optimization. Springer Optimization and Its Applications, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-030-16194-1_10

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