From control system security indices to attack identifiability
Title | From control system security indices to attack identifiability |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Sandberg, H., Teixeira, A. M. H. |
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 detectors, attack detectability, attack identifiability, Collaboration, composability, control system security indices, fault detection, fault diagnosis, Human Behavior, human factors, Indexes, linear dynamical systems, Linear systems, Metrics, Policy-Governed Secure Collaboration, pubcrawl, Resiliency, risk management, Scalability, science of security, security, sparsity constraints |
Abstract | In this paper, we investigate detectability and identifiability of attacks on linear dynamical systems that are subjected to external disturbances. We generalize a concept for a security index, which was previously introduced for static systems. The index exactly quantifies the resources necessary for targeted attacks to be undetectable and unidentifiable in the presence of disturbances. This information is useful for both risk assessment and for the design of anomaly detectors. Finally, we show how techniques from the fault detection literature can be used to decouple disturbances and to identify attacks, under certain sparsity constraints. |
URL | https://ieeexplore.ieee.org/document/7580001/ |
DOI | 10.1109/SOSCYPS.2016.7580001 |
Citation Key | sandberg_control_2016 |
- Indexes
- sparsity constraints
- security
- Science of Security
- Scalability
- risk management
- Resiliency
- pubcrawl
- Policy-Governed Secure Collaboration
- Metrics
- Linear systems
- linear dynamical systems
- actuators
- Human Factors
- Human behavior
- fault diagnosis
- fault detection
- control system security indices
- composability
- collaboration
- attack identifiability
- attack detectability
- anomaly detectors