.png){kind=icon}
Return
Attack Detection Based on Encoding-Decoding Approach for Cyber-Physical Systems
.png){kind=icon}
PRE
AI
DOI：10.1109/TSMC.2023.3283414.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This article is concerned with the attack detection issue for a class of nonlinear cyber-physical systems (CPSs) with unknown-but-bounded (UBB) noises. The nonlinear system is linearized by utilizing first-order Taylor expansion with Lagrangian remainder, and an observer based on zonotopic sets is proposed to estimate the system states. Then, a novel encoding-decoding strategy (EDS) is provided to improve the attack detection rate by selecting appropriate parameters. In order to alleviate the impact introduced by malicious attacks, a countermeasure is taken into account when an attack is detected by the abnormal detector. Finally, the hardware-in-the-loop (HIL) simulation is provided to illustrate the effectiveness of the proposed results.
Keywords:
Cyber attacks
cyber-physical systems (CPSs)
nonlinear system
unknown-but-bounded (UBB) noises
Journal
IF:
10.5
Papers:
1.1W
Citations:
5.0W
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSaveInfluence of size and surface capping on photoluminescence and cytotoxicity of gold nanoparticles
OAAI
OAAIShareSave
ShareSaveShareSaveShareSave
View more