Name
Title | ||
|---|---|---|
Stealthy Sensor Attack Detection and Real-Time Performance Recovery for Resilient CPS |
Abstract | ||
|---|---|---|
Cyber-physical attacks exploit intrinsic natures of physical systems and can severely damage cyber-physical systems (CPSs) without being detected by the conventional anomaly detector. In this article, based on software-defined networking, we propose a holistic resilient CPS framework that can detect, isolate, and recover from cyber-physical attacks in real time. To show the effectiveness of the proposed framework, we focus on the pole-dynamics attack (PDA), a newly reported stealthy sensor attack that can make the physical system unstable. We develop an efficient detection algorithm for PDA and embed it into the proposed framework. By implementing a testbed, we validate that the proposed framework guarantees resilience of CPS against the PDA. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TII.2021.3052182 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Cyber-physical systems (CPSs),real-time attack detection,resilience,software-defined networking (SDN) | Journal | 17 |
Issue | ISSN | Citations |
11 | 1551-3203 | 1 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sangjun Kim | 1 | 4 | 1.40 |
| Yongsoon Eun | 2 | 77 | 23.26 |
| Kyung-Joon Park | 3 | 270 | 36.78 |