A set-theoretic approach for secure and resilient control of Cyber-Physical Systems subject to false data injection attacks
Title | A set-theoretic approach for secure and resilient control of Cyber-Physical Systems subject to false data injection attacks |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Lucia, W., Sinopoli, B., Franze, G. |
Conference Name | 2016 Science of Security for Cyber-Physical Systems Workshop (SOSCYPS) |
Date Published | apr |
ISBN Number | 978-1-5090-4304-0 |
Keywords | actuators, anomaly detector module, Collaboration, Communication channels, composability, control remediation strategy, cryptography, cyber false data injection attacks, Cyber-physical systems, Detectors, encryption algorithms, FDI attacks, Human Behavior, human factors, Internet, Metrics, Policy-Governed Secure Collaboration, pubcrawl, Resiliency, resilient control, Scalability, science of security, set theory, set-theoretic control framework, telecommunication channels |
Abstract | In this paper a novel set-theoretic control framework for Cyber-Physical Systems is presented. By resorting to set-theoretic ideas, an anomaly detector module and a control remediation strategy are formally derived with the aim to contrast cyber False Data Injection (FDI) attacks affecting the communication channels. The resulting scheme ensures Uniformly Ultimate Boundedness and constraints fulfillment regardless of any admissible attack scenario. |
URL | https://ieeexplore.ieee.org/document/7580002/ |
DOI | 10.1109/SOSCYPS.2016.7580002 |
Citation Key | lucia_set-theoretic_2016 |
- Human behavior
- telecommunication channels
- set-theoretic control framework
- set theory
- Science of Security
- Scalability
- resilient control
- Resiliency
- pubcrawl
- Policy-Governed Secure Collaboration
- Metrics
- internet
- Human Factors
- actuators
- FDI attacks
- encryption algorithms
- Detectors
- cyber-physical systems
- cyber false data injection attacks
- Cryptography
- control remediation strategy
- composability
- Communication channels
- collaboration
- anomaly detector module