| Title | Secure estimation for intelligent connected vehicle systems against sensor attacks |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Xiaoxin, LOU, Xiulan, SONG, Defeng, HE, Liming, MENG |
| Conference Name | 2019 Chinese Control Conference (CCC) |
| Date Published | jul |
| Keywords | Acceleration, Channel estimation, closed loop systems, Communication system security, connected vehicles, cyber-attacks, Estimation, human factors, intelligent connected vehicle system, Intelligent connected vehicles, intelligent control, Metrics, pubcrawl, Resiliency, road vehicles, Scalability, secure estimation, Security Risk Estimation, Sensor attack, sensor attacks, Stability analysis, state estimator, telecommunication control, telecommunication power management, telecommunication security, vehicular ad hoc network, vehicular ad hoc networks, wireless channels, Wireless communication, Wireless sensor networks |
| Abstract | Intelligent connected vehicle system tightly integrates computing, communication, and control strategy. It can increase the traffic throughput, minimize the risk of accidents and reduce the energy consumption. However, because of the openness of the vehicular ad hoc network, the system is vulnerable to cyber-attacks and may result in disastrous consequences. Hence, it is interesting in design of the connected vehicular systems to be resilient to the sensor attacks. The paper focuses on the estimation and control of the intelligent connected vehicle systems when the sensors or the wireless channels of the system are attacked by attackers. We give the upper bound of the corrupted sensors that can be corrected and design the state estimator to reconstruct the initial state by designing a closed-loop controller. Finally, we verify the algorithm for the connected vehicle system by some classical simulations. |
| DOI | 10.23919/ChiCC.2019.8866174 |
| Citation Key | xiaoxin_secure_2019 |
Secure estimation for intelligent connected vehicle systems against sensor attacks