A zonotopic set-invariance analysis of replay attacks affecting the supervisory layer

This paper presents a zonotopic set-invariance analysis of replay attacks affecting the communication network that serves the supervisory layer of complex control systems using an observer-based detection scheme. Depending on the attacker’s access to the system’s resources, two scenarios are conside...

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Detalles Bibliográficos
Autores: Trapiello Fernández, Carlos|||0000-0001-7806-8679, Puig Cayuela, Vicenç|||0000-0002-6364-6429, Rotondo, Damiano|||0000-0002-8855-5582
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/362040
Acceso en línea:https://hdl.handle.net/2117/362040
https://dx.doi.org/10.1016/j.sysconle.2021.105056
Access Level:acceso abierto
Palabra clave:Polytopes
Control theory
Mathematical analysis
Invariant sets
Replay attack
Zonotopes
Attack detection
Polítops
Control, Teoria de
Anàlisi matemàtica
Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
Descripción
Sumario:This paper presents a zonotopic set-invariance analysis of replay attacks affecting the communication network that serves the supervisory layer of complex control systems using an observer-based detection scheme. Depending on the attacker’s access to the system’s resources, two scenarios are considered: (I) Sensors and controller data are counterfeited; (II) Only sensor measurements are counterfeited. The effect of a physical attack against the plant during the data replay is also taken into consideration. The representation of invariant sets as zonotopes allows to derive analytical expressions for attack detectability under the presence of bounded uncertainties. The validity of the analysis is demonstrated through simulations using a quadruple-tank process.