| Title | Privacy-Enabled Secure Control of Fog Computing Aided Cyber-Physical Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Ma, Renjie, Liu, Jianxing, Wu, Ligang |
| Conference Name | IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society |
| Keywords | complicated computation, Covariance matrices, cps privacy, cryptography, cyber physical systems, Cyber-physical systems, Data Perturbation, data privacy, distributed processing, edge computing, Encryption, FCA-CPS, Fog computation, fog computing aided CPS, fog layer, Human Behavior, human factors, industrial process, Linear systems, Luenberger observer, observer-based secure control problem, Observers, Perturbation methods, privacy, privacy-enabled secure control, pubcrawl, Secure control design, secure estimation scheme, security threats |
| Abstract | With rapid development of deep integration of computation, control, and communication, Cyber-Physical Systems (CPSs) play an important role in industrial processes. Combined with the technology of fog computing, CPSs can outsource their complicated computation to the fog layer, which in turn, may bring security threats with regard to data privacy. To protect data privacy in a control framework, this paper investigate observer-based secure control problem towards fog computing aided CPSs (FCA-CPSs) by utilizing data perturbation method. Firstly, security inputs are designed to encrypt the transmitted states to realize specific confidentiality level. Then, sufficient conditions are established to ensure the stability of considered FCA-CPSs. Finally, a numerical example is provided to illustrate the effectiveness of the secure estimation scheme. |
| DOI | 10.1109/IECON.2019.8927690 |
| Citation Key | ma_privacy-enabled_2019 |
Privacy-Enabled Secure Control of Fog Computing Aided Cyber-Physical Systems