지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.2
- 수록면
- 84 - 91 (8page)
- DOI
- 10.5302/J.ICROS.2021.20.0186
이용수
초록· 키워드
오류제보하기
This paper reports on a detection technique for stealthy sensor attacks on cyber-physical systems (CPS). The considered attack is a pole-dynamics attack, in which false data are injected to cancel the unstable trajectory of a plant captured on the feedback sensor output. In this attack, the systems appear to operate normally in the steady-state while the plant is destabilized. The target system is a linear plant, including unstable pole-dynamics, and we assume that the adversary knows the model to carry out the attack. The proposed detection method employs a switching mechanism of two control modes that play different roles. The first mode is the normal mode, which consists of a linear controller and an anomaly detector, having the same structure as those used in conventional networked control systems. The second mode is the attack detection mode, which utilizes an internal feedback controller. It is assumed that this internal controller is not known to the adversary. When the system is in the attack detection mode, owing to the use of the internal controller, the overall system dynamics differ from those adopted by the adversary, thereby the effect of the attack is revealed. The CPS periodically switches between the attack detection mode and normal mode. The timing of the switch is determined to ensure that any attack is revealed before the physical system becomes unstable. The results are validated via simulations of quadrotor control.
목차
Abstract
Ⅰ. 서론
Ⅱ. CPS 모델 표현
Ⅲ. ADC 모드 동작 중 드러나는 PDA
Ⅳ. 결과
Ⅴ. 시뮬레이션
Ⅵ. 결론
REFERENCES
참고문헌 (21)
참고문헌 신청
E. A. Kee, “Cyber-physical systems: design challenges,” Proceedings of the IEEE International Symposium on Object and Component Oriented Real-Time Distributed Computing, Orlando, FL, USA, pp. 363-369, May, 2008.
I. Weon and S. Lee, “Environment recognition based on multi-sensor fusion for autonomous driving vehicles,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 25, no, 2, pp. 125-131, Feb. 2019.
H. Jung, H. Chang, and Y. Song, “Trend of autonomous navigation technology for unmanned ship,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 25, no. 2, pp. 76-87, Jan. 2019.
A. A. Cardenas, S. Amin, and S. Sastry, “Secure control: towards survivable cyber-physical systems,” Proceedings of the 28th International Conference on Distributed Computing Systems Workshops, Beijing, China, pp. 495-500, Jun. 2008.
A. Humayed, J. Lin, F. Li, and B. Luo, “Cyber-physical systems security-a survey,” IEEE Internet of Things Journal, vol. 4, no. 6, Dec. 2017.
I. Weon and S. Lee, “Environment recognition based on multi-sensor fusion for autonomous driving vehicles,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 25, no, 2, pp. 125-131, Feb. 2019.
H. Jung, H. Chang, and Y. Song, “Trend of autonomous navigation technology for unmanned ship,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 25, no. 2, pp. 76-87, Jan. 2019.
A. A. Cardenas, S. Amin, and S. Sastry, “Secure control: towards survivable cyber-physical systems,” Proceedings of the 28th International Conference on Distributed Computing Systems Workshops, Beijing, China, pp. 495-500, Jun. 2008.
A. Humayed, J. Lin, F. Li, and B. Luo, “Cyber-physical systems security-a survey,” IEEE Internet of Things Journal, vol. 4, no. 6, Dec. 2017.
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