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Security Evaluation under Different Exchange Strategies Based on Heterogeneous CPS Model in Interdependent Sensor

Hao Peng¹, Can Liu¹, Dandan Zhao¹

¹College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004, China.

Sensors (Basel, Switzerland)

|October 31, 2020

Summary

This study analyzes the security of interdependent sensor networks in the Internet of Everything. It identifies strategies to mitigate cascading failures and enhance system resilience against attacks.

Keywords:

cascading failures giant component interdependent network robustness sensor network swap inter-links strategy

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Area of Science:

Computer Science
Network Security
Systems Engineering

Background:

Modern large-scale information systems like smart grids and industrial IoT are increasingly complex, featuring interdependent sensor networks.
Failures within one network can trigger cascading failures across interconnected systems, posing significant security risks.

Purpose of the Study:

To analyze the security vulnerabilities of interdependent sensor networks.
To evaluate the impact of random attacks and cascading failures on system integrity.
To propose and validate strategies for enhancing network security and resilience.

Main Methods:

Analysis of the largest functional component size to assess random attack impact.
Comparative analysis of cascading failure effects under various switching edge strategies.
Simulation-based verification of proposed security enhancement strategies.

Main Results:

Quantified the impact of random attacks on interdependent sensor network security.
Demonstrated how different switching edge strategies affect cascading failure propagation.
Identified an optimal exchange strategy to significantly improve system security.

Conclusions:

Interdependent sensor networks are susceptible to cascading failures, necessitating robust security measures.
Strategic network design and management, particularly edge switching, are crucial for resilience.
The proposed strategy offers a viable method for optimizing network topology and mitigating failure impacts.