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A Novel Multi-Agent Model for Robustness with Component Failure and Malware Propagation in Wireless Sensor Networks.

Biao Xu1,2, Minyan Lu1,2, Hong Zhang1,2

  • 1The Key Laboratory on Reliability and Environmental Engineering Technology, Beihang University, Beijing 140191, China.

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This study introduces a novel agent-based model to assess wireless sensor network (WSN) robustness against cascading failures. The model enhances understanding of system security in the Internet of Things (IoT) and Industry 4.0 environments.

Keywords:
WSNagent-based modelcross-domainmalwaremathematical modelrobustnesssecurity

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Area of Science:

  • Computer Science
  • Network Security
  • Systems Engineering

Background:

  • Wireless Sensor Networks (WSNs) are crucial for the Internet of Things (IoT) and Industry 4.0.
  • Existing research often overlooks cross-domain cascading failures in WSN robustness and security.
  • Robustness is vital for reliable WSN functionality.

Purpose of the Study:

  • To propose a cross-domain agent-based model for analyzing WSN connectivity robustness during malware propagation.
  • To detail agent characteristics and transition rules within the model.
  • To evaluate system robustness against cascading failures.

Main Methods:

  • Development of a cross-domain agent-based model.
  • Detailed description of agent characteristics and transition rules.
  • Simulation of three scenarios with varying network topologies.

Main Results:

  • The proposed model effectively analyzes connectivity robustness in WSNs.
  • The model highlights vulnerabilities related to cross-domain cascading failures.
  • Different network topologies exhibit varying degrees of robustness.

Conclusions:

  • The agent-based model provides a practical approach to assessing WSN robustness.
  • Addressing cross-domain failures is essential for secure and reliable WSNs.
  • The findings contribute to enhancing the security of IoT and Industry 4.0 systems.