Name
Title | ||
|---|---|---|
Recovery-by-Learning: Restoring Autonomous Cyber-physical Systems from Sensor Attacks |
Abstract | ||
|---|---|---|
Autonomous cyber-physical systems (CPS) are susceptible to non-invasive physical attacks such as sensor spoofing attacks that are beyond the classical cybersecurity domain. These attacks have motivated numerous research efforts on attack detection, but little attention on what to do after detecting an attack. The importance of attack recovery is emphasized by the need to mitigate the attack’s impa... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/RTCSA52859.2021.00015 | 2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) |
Keywords | DocType | ISSN |
Checkpointing,Deep learning,Protocols,System dynamics,Redundancy,Cyber-physical systems,Predictive models | Conference | 1533-2306 |
ISBN | Citations | PageRank |
978-1-6654-4188-9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francis Akowuah | 1 | 0 | 0.34 |
| Romesh Prasad | 2 | 0 | 0.34 |
| Carlos Omar Espinoza | 3 | 0 | 0.34 |
| Fanxin Kong | 4 | 41 | 3.89 |