Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142640
Title: Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries
Authors: Ao, Wei
Song, Yongdong
Wen, Changyun
Lai, Junfeng
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: 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
Journal: Information Sciences
Abstract: 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.
URI: https://hdl.handle.net/10356/142640
ISSN: 0020-0255
DOI: 10.1016/j.ins.2018.03.056
Rights: © 2018 Elsevier Inc. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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