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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

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Stealthy Measurement-Aided Pole-Dynamics Attacks With Nominal Models.

Dajun Du, Changda Zhang, Chen Peng

IEEE Transactions on Cybernetics

|September 23, 2024

Summary

This summary is machine-generated.

This study introduces a stealthy measurement-aided pole-dynamics attacks (MAPDAs) method to maintain attack stealthiness despite model mismatches. The novel approach ensures comparable stealth and destructiveness to traditional methods, using only measurements.

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Area of Science:

Control Systems Engineering
Cybersecurity
Networked Systems

Background:

Traditional pole-dynamics attacks (TPDAs) suffer from reduced stealthiness due to model mismatch between exact and nominal models.
Existing methods often require both measurements and control inputs, limiting practical implementation.

Purpose of the Study:

To propose a novel stealthy measurement-aided pole-dynamics attacks (MAPDAs) method robust to model mismatch.
To enhance the stealthiness and ease of implementation of pole-dynamics attacks.

Main Methods:

Developed a MAPDAs method utilizing an adaptive control strategy to preserve stealth.
The method requires only system measurements, simplifying implementation compared to prior techniques.
Performance evaluated through the convergence of multivariate measurements.

Main Results:

The proposed MAPDAs method effectively maintains stealthiness even with model mismatch.
MAPDAs demonstrate comparable stealthiness and destructiveness to TPDAs.
Experimental validation on a networked inverted pendulum system confirmed the method's feasibility.

Conclusions:

The novel MAPDAs method offers a stealthy and practical solution for pole-dynamics attacks in the presence of model mismatch.
This approach enhances the security of networked control systems by providing a robust attack strategy.