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Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Attack-resilient fault detection for interconnected systems under DoS attack.

Qidong Liu¹, Yue Long², Tieshan Li²

¹School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.

ISA Transactions

|March 30, 2024

Summary

This summary is machine-generated.

This study introduces a resilient fault detection scheme to counter denial of service (DoS) attacks in networked systems. The innovative approach conserves network resources while enhancing fault detection accuracy for cyber-space applications.

Keywords:

Denial of service attacks Event-triggered Interconnected system Resilient fault detection

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Area of Science:

Cyber-security
Control Systems Engineering
Networked Systems

Background:

Expanding cyber-space applications necessitate robust security measures against cyber-attacks.
Denial of Service (DoS) attacks pose significant threats to system security and operational integrity.
Existing fault detection methods may be vulnerable to sophisticated, dynamic cyber threats.

Purpose of the Study:

To develop a resilient dynamic event-triggered fault detection scheme for nonlinear interconnected systems.
To address the co-design of fault detection filters and event-triggered transmission mechanisms under DoS attacks.
To enhance system security and performance in the face of cyber-attacks.

Main Methods:

Co-design of switched-type fault detection filters and a dynamic event-triggered transmission mechanism.
Incorporation of signal frequency information in filter design.
Development of linear solvable conditions for augmented system performance.
Comparative simulation experiments to validate the proposed scheme.

Main Results:

The proposed scheme demonstrates resilience against DoS attacks.
The dynamic event-triggered mechanism effectively conserves network resources.
Superior detection capabilities for specific frequency fault signals were observed.
Augmented system performance was achieved through linear solvable conditions.

Conclusions:

The developed fault detection mechanism offers an effective solution for securing networked systems against DoS attacks.
The approach balances network resource conservation with enhanced fault detection performance.
This work contributes to the advancement of resilient cyber-security in interconnected systems.