Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries
In this paper, we investigate the finite time attack detection and secure state estimation problem for linear cyber physical systems (CPS) with s out of p sensors being attacked. By exploring the distinct properties of the undetectable and indistinguishable attacks to a CPS, novel explicit criteria...
| 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/10356/142640 |
| _version_ | 1811686039033479168 |
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| author | Ao, Wei Song, Yongdong Wen, Changyun Lai, Junfeng |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Ao, Wei Song, Yongdong Wen, Changyun Lai, Junfeng |
| author_sort | Ao, Wei |
| collection | NTU |
| description | In this paper, we investigate the finite time attack detection and secure state estimation problem for linear cyber physical systems (CPS) with s out of p sensors being attacked. By exploring the distinct properties of the undetectable and indistinguishable attacks to a CPS, novel explicit criteria on the detectability and distinguishability of the CPS under attack are proposed in terms of the r-resilient observability. This enables us to explicitly characterize the undetectable and/or indistinguishable attacks to the CPS. Then based on such characterization, we propose a finite time detector to solve the attack detection problem and a finite time alarm event driven supervised estimator to solve the secure state estimation problem, separately. Theoretical analysis shows that, the proposed detector and estimator can detect attacks and estimate the state within a prescribed finite time, respectively. Finally, some numerical simulations on an unmanned ground vehicle as an illustration of attack detection and secure state estimation is proposed to verify the effectiveness of the proposed schemes. |
| first_indexed | 2024-10-01T04:54:04Z |
| format | Journal Article |
| id | ntu-10356/142640 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:54:04Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1426402020-06-26T01:52:18Z Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries Ao, Wei Song, Yongdong Wen, Changyun Lai, Junfeng School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Cyber Physical System Sensor Attacks In this paper, we investigate the finite time attack detection and secure state estimation problem for linear cyber physical systems (CPS) with s out of p sensors being attacked. By exploring the distinct properties of the undetectable and indistinguishable attacks to a CPS, novel explicit criteria on the detectability and distinguishability of the CPS under attack are proposed in terms of the r-resilient observability. This enables us to explicitly characterize the undetectable and/or indistinguishable attacks to the CPS. Then based on such characterization, we propose a finite time detector to solve the attack detection problem and a finite time alarm event driven supervised estimator to solve the secure state estimation problem, separately. Theoretical analysis shows that, the proposed detector and estimator can detect attacks and estimate the state within a prescribed finite time, respectively. Finally, some numerical simulations on an unmanned ground vehicle as an illustration of attack detection and secure state estimation is proposed to verify the effectiveness of the proposed schemes. 2020-06-26T01:52:18Z 2020-06-26T01:52:18Z 2018 Journal Article Ao, W., Song, Y., Wen, C., & Lai, J. (2018). Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries. Information Sciences, 451-452, 67-82. doi:10.1016/j.ins.2018.03.056 0020-0255 https://hdl.handle.net/10356/142640 10.1016/j.ins.2018.03.056 2-s2.0-85045064048 451-452 67 82 en Information Sciences © 2018 Elsevier Inc. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Cyber Physical System Sensor Attacks Ao, Wei Song, Yongdong Wen, Changyun Lai, Junfeng Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries |
| title | Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries |
| title_full | Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries |
| title_fullStr | Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries |
| title_full_unstemmed | Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries |
| title_short | Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries |
| title_sort | finite time attack detection and supervised secure state estimation for cpss with malicious adversaries |
| topic | Engineering::Electrical and electronic engineering Cyber Physical System Sensor Attacks |
| url | https://hdl.handle.net/10356/142640 |
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