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Optimal control analysis of malware propagation in cloud environments.

Liang Tian1,2, Fengjun Shang1,2, Chenquan Gan3

  • 1School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

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This study introduces an optimal dynamic immunization strategy to combat malware propagation in cloud computing environments. The proposed method effectively minimizes malware infections with minimal associated costs.

Keywords:
cloud environmentmalwareoptimal controlpropagation modelvirtual machine

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Security

Background:

  • Cloud computing offers flexible resource allocation and energy efficiency through virtual machine (VM) migration.
  • VM migration, while beneficial, facilitates rapid malware propagation within cloud infrastructures.
  • Existing methods struggle to effectively curb the spread of malware in dynamic cloud environments.

Purpose of the Study:

  • To develop and evaluate an optimal dynamic immunization strategy for cloud environments.
  • To minimize malware proliferation by identifying the most efficient immunization approach.
  • To analyze the trade-off between immunization effectiveness and associated costs.

Main Methods:

  • Utilizing a controlled dynamical model to simulate malware spread.
  • Defining a control strategy and associated loss function for optimization.
  • Applying optimal control theory for theoretical and experimental analysis.

Main Results:

  • The proposed optimal dynamic immunization strategy significantly reduces malware incidence.
  • Theoretical analysis confirms the effectiveness of the strategy.
  • Experimental validation demonstrates the practical applicability and efficiency of the approach.

Conclusions:

  • Optimal dynamic immunization is a highly effective strategy for mitigating malware spread in cloud computing.
  • The developed model provides a framework for balancing security and operational costs.
  • This research offers a robust solution to a critical challenge in cloud security.