Secure fusion estimation for bandwidth constrained cyber-physical systems under replay attacks
State estimation plays an essential role in the monitoring and supervision of cyber-physical systems (CPSs), and its importance has made the security and estimation performance a major concern. In this case, multisensor information fusion estimation (MIFE) provides an attractive alternative to study...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/140109 |
| _version_ | 1811682127924690944 |
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| author | Chen, Bo Ho, Daniel Wing Cheong Hu, Guoqiang Li, Yu |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Chen, Bo Ho, Daniel Wing Cheong Hu, Guoqiang Li, Yu |
| author_sort | Chen, Bo |
| collection | NTU |
| description | State estimation plays an essential role in the monitoring and supervision of cyber-physical systems (CPSs), and its importance has made the security and estimation performance a major concern. In this case, multisensor information fusion estimation (MIFE) provides an attractive alternative to study secure estimation problems because MIFE can potentially improve estimation accuracy and enhance reliability and robustness against attacks. From the perspective of the defender, the secure distributed Kalman fusion estimation problem is investigated in this paper for a class of CPSs under replay attacks, where each local estimate obtained by the sink node is transmitted to a remote fusion center through bandwidth constrained communication channels. A new mathematical model with compensation strategy is proposed to characterize the replay attacks and bandwidth constrains, and then a recursive distributed Kalman fusion estimator (DKFE) is designed in the linear minimum variance sense. According to different communication frameworks, two classes of data compression and compensation algorithms are developed such that the DKFEs can achieve the desired performance. Several attack-dependent and bandwidth-dependent conditions are derived such that the DKFEs are secure under replay attacks. An illustrative example is given to demonstrate the effectiveness of the proposed methods. |
| first_indexed | 2024-10-01T03:51:54Z |
| format | Journal Article |
| id | ntu-10356/140109 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:51:54Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1401092020-05-26T07:57:15Z Secure fusion estimation for bandwidth constrained cyber-physical systems under replay attacks Chen, Bo Ho, Daniel Wing Cheong Hu, Guoqiang Li, Yu School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Bandwidth Constraints Cyber-physical Systems (CPSs) State estimation plays an essential role in the monitoring and supervision of cyber-physical systems (CPSs), and its importance has made the security and estimation performance a major concern. In this case, multisensor information fusion estimation (MIFE) provides an attractive alternative to study secure estimation problems because MIFE can potentially improve estimation accuracy and enhance reliability and robustness against attacks. From the perspective of the defender, the secure distributed Kalman fusion estimation problem is investigated in this paper for a class of CPSs under replay attacks, where each local estimate obtained by the sink node is transmitted to a remote fusion center through bandwidth constrained communication channels. A new mathematical model with compensation strategy is proposed to characterize the replay attacks and bandwidth constrains, and then a recursive distributed Kalman fusion estimator (DKFE) is designed in the linear minimum variance sense. According to different communication frameworks, two classes of data compression and compensation algorithms are developed such that the DKFEs can achieve the desired performance. Several attack-dependent and bandwidth-dependent conditions are derived such that the DKFEs are secure under replay attacks. An illustrative example is given to demonstrate the effectiveness of the proposed methods. 2020-05-26T07:57:15Z 2020-05-26T07:57:15Z 2017 Journal Article Chen, B., Ho, D. W. C., Hu, G., & Li, Y. (2018). Secure fusion estimation for bandwidth constrained cyber-physical systems under replay attacks. IEEE Transactions on Cybernetics, 48(6), 1862-1876. doi:10.1109/TCYB.2017.2716115 2168-2267 https://hdl.handle.net/10356/140109 10.1109/TCYB.2017.2716115 28682270 2-s2.0-85023200102 6 48 1862 1876 en IEEE Transactions on Cybernetics © 2017 IEEE. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Bandwidth Constraints Cyber-physical Systems (CPSs) Chen, Bo Ho, Daniel Wing Cheong Hu, Guoqiang Li, Yu Secure fusion estimation for bandwidth constrained cyber-physical systems under replay attacks |
| title | Secure fusion estimation for bandwidth constrained cyber-physical systems under replay attacks |
| title_full | Secure fusion estimation for bandwidth constrained cyber-physical systems under replay attacks |
| title_fullStr | Secure fusion estimation for bandwidth constrained cyber-physical systems under replay attacks |
| title_full_unstemmed | Secure fusion estimation for bandwidth constrained cyber-physical systems under replay attacks |
| title_short | Secure fusion estimation for bandwidth constrained cyber-physical systems under replay attacks |
| title_sort | secure fusion estimation for bandwidth constrained cyber physical systems under replay attacks |
| topic | Engineering::Electrical and electronic engineering Bandwidth Constraints Cyber-physical Systems (CPSs) |
| url | https://hdl.handle.net/10356/140109 |
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