Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems

Junsoo Kim; Chanhwa Lee; Hyungbo Shim; Yongsoon Eun; Jin H. Seo

doi:10.1109/CDC.2016.7798445

Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems

Junsoo Kim, Chanhwa Lee, Hyungbo Shim, Yongsoon Eun, Jin H. Seo

Dept. of Electrical and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Scopus citations

Abstract

This paper presents an attack-resilient estimation scheme for uniformly observable nonlinear systems having redundant sensors when a subset of sensors is corrupted by adversaries. We first design an individual high-gain observer from each measurement output so that partial information of system state is obtained. Then, a nonlinear error correcting problem is formulated by collecting all the information from each partial observers and it can be solved by exploiting redundancy. For most of the time, a computationally efficient monitoring system is running and it detects every influential attacks. A simple switching logic explores another combination of output measurement to find a correct candidate only when a residual signal exceeds its threshold.

Original language	English
Title of host publication	2016 IEEE 55th Conference on Decision and Control, CDC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1297-1302
Number of pages	6
ISBN (Electronic)	9781509018376
DOIs	https://doi.org/10.1109/CDC.2016.7798445
State	Published - 27 Dec 2016
Event	55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States Duration: 12 Dec 2016 → 14 Dec 2016

Publication series

Name	2016 IEEE 55th Conference on Decision and Control, CDC 2016

Conference

Conference	55th IEEE Conference on Decision and Control, CDC 2016
Country/Territory	United States
City	Las Vegas
Period	12/12/16 → 14/12/16

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10.1109/CDC.2016.7798445

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Kim, J., Lee, C., Shim, H., Eun, Y., & Seo, J. H. (2016). Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016 (pp. 1297-1302). Article 7798445 (2016 IEEE 55th Conference on Decision and Control, CDC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2016.7798445

@inproceedings{b8bb6da7fbee40a191d755dc1fb2975f,

title = "Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems",

abstract = "This paper presents an attack-resilient estimation scheme for uniformly observable nonlinear systems having redundant sensors when a subset of sensors is corrupted by adversaries. We first design an individual high-gain observer from each measurement output so that partial information of system state is obtained. Then, a nonlinear error correcting problem is formulated by collecting all the information from each partial observers and it can be solved by exploiting redundancy. For most of the time, a computationally efficient monitoring system is running and it detects every influential attacks. A simple switching logic explores another combination of output measurement to find a correct candidate only when a residual signal exceeds its threshold.",

author = "Junsoo Kim and Chanhwa Lee and Hyungbo Shim and Yongsoon Eun and Seo, \{Jin H.\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 55th IEEE Conference on Decision and Control, CDC 2016 ; Conference date: 12-12-2016 Through 14-12-2016",

year = "2016",

month = dec,

day = "27",

doi = "10.1109/CDC.2016.7798445",

language = "English",

series = "2016 IEEE 55th Conference on Decision and Control, CDC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2016 IEEE 55th Conference on Decision and Control, CDC 2016",

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Kim, J, Lee, C, Shim, H, Eun, Y & Seo, JH 2016, Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems. in 2016 IEEE 55th Conference on Decision and Control, CDC 2016., 7798445, 2016 IEEE 55th Conference on Decision and Control, CDC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1297-1302, 55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, United States, 12/12/16. https://doi.org/10.1109/CDC.2016.7798445

Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems. / Kim, Junsoo; Lee, Chanhwa; Shim, Hyungbo et al.
2016 IEEE 55th Conference on Decision and Control, CDC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1297-1302 7798445 (2016 IEEE 55th Conference on Decision and Control, CDC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2016/12/27

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N2 - This paper presents an attack-resilient estimation scheme for uniformly observable nonlinear systems having redundant sensors when a subset of sensors is corrupted by adversaries. We first design an individual high-gain observer from each measurement output so that partial information of system state is obtained. Then, a nonlinear error correcting problem is formulated by collecting all the information from each partial observers and it can be solved by exploiting redundancy. For most of the time, a computationally efficient monitoring system is running and it detects every influential attacks. A simple switching logic explores another combination of output measurement to find a correct candidate only when a residual signal exceeds its threshold.

AB - This paper presents an attack-resilient estimation scheme for uniformly observable nonlinear systems having redundant sensors when a subset of sensors is corrupted by adversaries. We first design an individual high-gain observer from each measurement output so that partial information of system state is obtained. Then, a nonlinear error correcting problem is formulated by collecting all the information from each partial observers and it can be solved by exploiting redundancy. For most of the time, a computationally efficient monitoring system is running and it detects every influential attacks. A simple switching logic explores another combination of output measurement to find a correct candidate only when a residual signal exceeds its threshold.

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DO - 10.1109/CDC.2016.7798445

M3 - Conference contribution

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T3 - 2016 IEEE 55th Conference on Decision and Control, CDC 2016

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BT - 2016 IEEE 55th Conference on Decision and Control, CDC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 55th IEEE Conference on Decision and Control, CDC 2016

Y2 - 12 December 2016 through 14 December 2016

ER -

Kim J, Lee C, Shim H, Eun Y, Seo JH. Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1297-1302. 7798445. (2016 IEEE 55th Conference on Decision and Control, CDC 2016). doi: 10.1109/CDC.2016.7798445

Detection of sensor attack and resilient state estimation for uniformly observable nonlinear systems

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