Back to Search
Start Over
Robust predictability in discrete event systems under sensor attacks
- Source :
- Frontiers in Physics, Vol 11 (2023)
- Publication Year :
- 2023
- Publisher :
- Frontiers Media S.A., 2023.
-
Abstract
- The problem of robust predictability against sensor attacks is investigated. The objective of a diagnoser is to predict the occurrence of a critical event of a discrete event system (DES) under partial observation. An attacker may rewrite the diagnoser observation by inserting fake events or erasing real events. Two novel structures, namely, real diagnoser and the fake diagnoser, are constructed based on the diagnoser of the system. We compute the hybrid diagnoser as the parallel composition of the real diagnoser and the fake diagnoser. The hybrid diagnoser can be used to verify if a critical event of the system is robustly predictable when an attacker tampers with the diagnoser observation.
- Subjects :
- discrete event system
automaton
predictability
diagnoser
sensor attack
Physics
QC1-999
Subjects
Details
- Language :
- English
- ISSN :
- 2296424X
- Volume :
- 11
- Database :
- Directory of Open Access Journals
- Journal :
- Frontiers in Physics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.50d12e91c046cd9309eb919cd91ba2
- Document Type :
- article
- Full Text :
- https://doi.org/10.3389/fphy.2023.1185103