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WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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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.

Mathematical Biosciences and Engineering : MBE
|September 7, 2023
PubMed
Summary

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.