Sensor Network Attack Synthesis against Fault Diagnosis of Discrete Event Systems
Tenglong Kang1,2, Yifan Hou1, Ding Liu1
1School of Electro-Mechanical Engineering, Xidian University, Xi'an 710071, China.
Sensors (Basel, Switzerland)
|July 27, 2024
Summary
This study introduces methods to synthesize network attacks targeting fault diagnosis in discrete event systems (DESs). It focuses on creating undetectable attacks that degrade system monitoring and fault detection capabilities.
Area of Science:
- Control Systems Engineering
- Cybersecurity
- Computer Science
Background:
- Discrete event systems (DESs) are crucial for modeling complex systems.
- Fault diagnosis is essential for system reliability and safety.
- Network attacks can compromise the integrity of fault diagnosis processes.
Purpose of the Study:
- To investigate the synthesis of network attacks against fault diagnosis in DESs.
- To define and identify successful, stealthy attackers.
- To develop an algorithmic procedure for synthesizing such attackers.
Main Methods:
- Formulation of online fault diagnosis under attack.
- Definition of a successful sensor network attacker.
- Proposal of a joint diagnoser (JD) to model attacks.
- Refinement of JD into a stealthy joint diagnoser (SJD).
Main Results:
- An algorithmic procedure for synthesizing successful attackers is presented.
- The SJD framework enables the verification of stealthy attackers.
- The study provides a method to understand and potentially counter sophisticated network attacks.
Conclusions:
- Successful and stealthy network attacks against DES fault diagnosis can be synthesized.
- The proposed SJD framework is effective for attacker synthesis and verification.
- This research contributes to the understanding of adversarial impacts on system monitoring.
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