Secure state estimation for Cyber Physical Systems with sparse malicious packet drops

Gabriella Fiore, Young Hwan Chang, Qie Hu, Maria Domenica Di Benedetto, Claire J. Tomlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper we investigate how to correctly estimate the state of a linear system in a discrete time setting, when the communication between sensors and/or actuators with the controller is corrupted by sparse attacks. We give conditions for the system to be resilient against malicious packet drops without assuming that the attacker follows any specific probabilistic model. The performance of the proposed algorithm is demonstrated through numerical simulations, where a flexible payload is transported by a group of Unmanned Aerial Vehicles (UAVs).

Original languageEnglish (US)
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1898-1903
Number of pages6
ISBN (Electronic)9781509059928
DOIs
StatePublished - Jun 29 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: May 24 2017May 26 2017

Other

Other2017 American Control Conference, ACC 2017
CountryUnited States
CitySeattle
Period5/24/175/26/17

Fingerprint

State estimation
Unmanned aerial vehicles (UAV)
Linear systems
Actuators
Controllers
Communication
Sensors
Computer simulation
Statistical Models
Cyber Physical System

Keywords

  • Cyber-Physical System (CPS)
  • error correction
  • Secure estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Fiore, G., Chang, Y. H., Hu, Q., Di Benedetto, M. D., & Tomlin, C. J. (2017). Secure state estimation for Cyber Physical Systems with sparse malicious packet drops. In 2017 American Control Conference, ACC 2017 (pp. 1898-1903). [7963229] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC.2017.7963229

Secure state estimation for Cyber Physical Systems with sparse malicious packet drops. / Fiore, Gabriella; Chang, Young Hwan; Hu, Qie; Di Benedetto, Maria Domenica; Tomlin, Claire J.

2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1898-1903 7963229.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fiore, G, Chang, YH, Hu, Q, Di Benedetto, MD & Tomlin, CJ 2017, Secure state estimation for Cyber Physical Systems with sparse malicious packet drops. in 2017 American Control Conference, ACC 2017., 7963229, Institute of Electrical and Electronics Engineers Inc., pp. 1898-1903, 2017 American Control Conference, ACC 2017, Seattle, United States, 5/24/17. https://doi.org/10.23919/ACC.2017.7963229
Fiore G, Chang YH, Hu Q, Di Benedetto MD, Tomlin CJ. Secure state estimation for Cyber Physical Systems with sparse malicious packet drops. In 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1898-1903. 7963229 https://doi.org/10.23919/ACC.2017.7963229
Fiore, Gabriella ; Chang, Young Hwan ; Hu, Qie ; Di Benedetto, Maria Domenica ; Tomlin, Claire J. / Secure state estimation for Cyber Physical Systems with sparse malicious packet drops. 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1898-1903
@inproceedings{b9f42085230c475288357f9986253d9e,
title = "Secure state estimation for Cyber Physical Systems with sparse malicious packet drops",
abstract = "In this paper we investigate how to correctly estimate the state of a linear system in a discrete time setting, when the communication between sensors and/or actuators with the controller is corrupted by sparse attacks. We give conditions for the system to be resilient against malicious packet drops without assuming that the attacker follows any specific probabilistic model. The performance of the proposed algorithm is demonstrated through numerical simulations, where a flexible payload is transported by a group of Unmanned Aerial Vehicles (UAVs).",
keywords = "Cyber-Physical System (CPS), error correction, Secure estimation",
author = "Gabriella Fiore and Chang, {Young Hwan} and Qie Hu and {Di Benedetto}, {Maria Domenica} and Tomlin, {Claire J.}",
year = "2017",
month = "6",
day = "29",
doi = "10.23919/ACC.2017.7963229",
language = "English (US)",
pages = "1898--1903",
booktitle = "2017 American Control Conference, ACC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Secure state estimation for Cyber Physical Systems with sparse malicious packet drops

AU - Fiore, Gabriella

AU - Chang, Young Hwan

AU - Hu, Qie

AU - Di Benedetto, Maria Domenica

AU - Tomlin, Claire J.

PY - 2017/6/29

Y1 - 2017/6/29

N2 - In this paper we investigate how to correctly estimate the state of a linear system in a discrete time setting, when the communication between sensors and/or actuators with the controller is corrupted by sparse attacks. We give conditions for the system to be resilient against malicious packet drops without assuming that the attacker follows any specific probabilistic model. The performance of the proposed algorithm is demonstrated through numerical simulations, where a flexible payload is transported by a group of Unmanned Aerial Vehicles (UAVs).

AB - In this paper we investigate how to correctly estimate the state of a linear system in a discrete time setting, when the communication between sensors and/or actuators with the controller is corrupted by sparse attacks. We give conditions for the system to be resilient against malicious packet drops without assuming that the attacker follows any specific probabilistic model. The performance of the proposed algorithm is demonstrated through numerical simulations, where a flexible payload is transported by a group of Unmanned Aerial Vehicles (UAVs).

KW - Cyber-Physical System (CPS)

KW - error correction

KW - Secure estimation

UR - http://www.scopus.com/inward/record.url?scp=85027004137&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85027004137&partnerID=8YFLogxK

U2 - 10.23919/ACC.2017.7963229

DO - 10.23919/ACC.2017.7963229

M3 - Conference contribution

AN - SCOPUS:85027004137

SP - 1898

EP - 1903

BT - 2017 American Control Conference, ACC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -