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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.
Sensors (Basel, Switzerland)
|July 24, 2021
Summary
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.
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.
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