Mitigating Sensor Attacks Against Industrial Control Systems

This paper describes how to design and implement a mechanism that helps to mitigate sensor attacks on industrial control systems. The proposed architecture is based on concepts from fault-tolerant control techniques. This short note explains how a Kalman filter can be used simultaneously with optima...

Full description

Bibliographic Details
Main Authors: Luis F. Combita, Alvaro Cardenas, Nicanor Quijano
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8758093/
id doaj-a2a52c5a81b8447aa217419f7fd673e4
record_format Article
spelling doaj-a2a52c5a81b8447aa217419f7fd673e42021-03-29T23:32:24ZengIEEEIEEE Access2169-35362019-01-017924449245510.1109/ACCESS.2019.29274848758093Mitigating Sensor Attacks Against Industrial Control SystemsLuis F. Combita0https://orcid.org/0000-0001-9835-4453Alvaro Cardenas1Nicanor Quijano2Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá, ColombiaDepartment of Electrical and Computer Engineering, University of California at Santa Cruz, Santa Cruz, CA, USADepartamento de Ingeniería Eléctrica y Electrónica, Universidad de Los Andes, Bogotá, ColombiaThis paper describes how to design and implement a mechanism that helps to mitigate sensor attacks on industrial control systems. The proposed architecture is based on concepts from fault-tolerant control techniques. This short note explains how a Kalman filter can be used simultaneously with optimal disturbance decoupling observers to improve the performance of the mitigation mechanism for sensor attacks in cyber-physical control systems. Our proposal mitigates attacks by generating a signal that compensates the change provoked by the attacker, while at the same time reducing the number of false alarms. We demonstrate the effectiveness of our proposal using a three tanks control simulation.https://ieeexplore.ieee.org/document/8758093/Cyber-physical control systemsindustrial control systemssecure controlsensor attacks mitigation
collection DOAJ
language English
format Article
sources DOAJ
author Luis F. Combita
Alvaro Cardenas
Nicanor Quijano
spellingShingle Luis F. Combita
Alvaro Cardenas
Nicanor Quijano
Mitigating Sensor Attacks Against Industrial Control Systems
IEEE Access
Cyber-physical control systems
industrial control systems
secure control
sensor attacks mitigation
author_facet Luis F. Combita
Alvaro Cardenas
Nicanor Quijano
author_sort Luis F. Combita
title Mitigating Sensor Attacks Against Industrial Control Systems
title_short Mitigating Sensor Attacks Against Industrial Control Systems
title_full Mitigating Sensor Attacks Against Industrial Control Systems
title_fullStr Mitigating Sensor Attacks Against Industrial Control Systems
title_full_unstemmed Mitigating Sensor Attacks Against Industrial Control Systems
title_sort mitigating sensor attacks against industrial control systems
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description This paper describes how to design and implement a mechanism that helps to mitigate sensor attacks on industrial control systems. The proposed architecture is based on concepts from fault-tolerant control techniques. This short note explains how a Kalman filter can be used simultaneously with optimal disturbance decoupling observers to improve the performance of the mitigation mechanism for sensor attacks in cyber-physical control systems. Our proposal mitigates attacks by generating a signal that compensates the change provoked by the attacker, while at the same time reducing the number of false alarms. We demonstrate the effectiveness of our proposal using a three tanks control simulation.
topic Cyber-physical control systems
industrial control systems
secure control
sensor attacks mitigation
url https://ieeexplore.ieee.org/document/8758093/
work_keys_str_mv AT luisfcombita mitigatingsensorattacksagainstindustrialcontrolsystems
AT alvarocardenas mitigatingsensorattacksagainstindustrialcontrolsystems
AT nicanorquijano mitigatingsensorattacksagainstindustrialcontrolsystems
_version_ 1724189337465126912