Published May 9, 2024
| Version v1
Journal article
An Information Theoretic Metric for Measurement Vulnerability to Data Integrity Attacks on Smart Grids
Contributors
Others:
- Department of Automatic Control and Systems Engineering [ Sheffield] (ACSE) ; University of Sheffield [Sheffield]
- Department of Electrical and Computer Engineering [Princeton] (ECE) ; Princeton University
- Network Engineering and Operations (NEO ) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Laboratoire de Géométrie Algébrique et Applications à la Théorie de l'Information (GAATI) ; Université de la Polynésie Française (UPF)
Description
A novel metric that describes the vulnerability of the measurements in power systems to data integrity attacks is proposed. The new metric, coined vulnerability index (VuIx), leverages information theoretic measures to assess the attack effect in terms of the fundamental limits of the disruption and detection tradeoff. The result of computing the VuIx of the measurements in the system yields an ordering of their vulnerability based on the degree of exposure to data integrity attacks. This new framework is used to assess the measurement vulnerability of IEEE 9-bus and 30-bus test systems and it is observed that power injection measurements are significantly more vulnerable to data integrity attacks than power flow measurements. A detailed numerical evaluation of the VuIx values for IEEE test systems is provided.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.science/hal-03849768
- URN
- urn:oai:HAL:hal-03849768v1
Origin repository
- Origin repository
- UNICA