Vulnerability Assessment of AC State Estimation With Respect to False Data Injection Cyber-Attacks
Abstract
This paper introduces new analytical techniques for performing vulnerability analysis of state estimation when it is subject to a hidden false data injection cyber-attack on a power grid's SCADA system. Specifically, we consider ac state estimation and describe how the physical properties of the system can be used as an advantage in protecting the power system from such an attack. We present an algorithm based on graph theory which allows determining how many and which measurement signals an attacker will attack in order to minimize his efforts in keeping the attack hidden from bad data detection. This provides guidance on which measurements are vulnerable and need increased protection. Hence, this paper provides insights into the vulnerabilities but also the inherent strengths provided by ac state estimation and network topology features such as buses without power injections.
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DNP3 has vulnerabilities and its packets can be analysed through network sniffing tools to gain information and cause damage.
“Other recent protocols, such as Distributed Network Protocol 3.0 (DNP3) also have their vulnerabilities [5], [38], [39] and packets can also be analysed [36] through network sniffing tools to gain information and cause damage.”
From Assessing and augmenting SCADA cyber security: A survey of techniques (2017) · cites this paper as [39]
A simple flooding attack fills the event buffer in the data aggregator so that critical alerts from legitimate devices cannot be buffered, impacting the control station's situational awareness.
“A simple flooding attack fills the event buffer in the data aggregator so that the critical alerts from legitimate devices cannot be buffered which impacts the control station's situational awareness.”
From Assessing and augmenting SCADA cyber security: A survey of techniques (2017) · cites this paper as [39]
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Safety and Security in Cyber-Physical Systems and Internet-of-Things Systems
Wolf, M., & Serpanos, D. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2781198 · Cited by 250 · see citing works
State of the art of cyber-physical systems security: An automatic control perspective
Zacchia Lun, Y., D’Innocenzo, A., Smarra, F., Malavolta, I., & Di Benedetto, M. D. (2019) · Journal of Systems and Software · doi:10.1016/j.jss.2018.12.006 · Cited by 211 · see citing works
Assessing and augmenting SCADA cyber security: A survey of techniques
Nazir, S., Patel, S., & Patel, D. (2017) · Computers & Security · doi:10.1016/j.cose.2017.06.010 · Cited by 167 · see citing works
“In False data injection attack the stored or transmitted data from RTUs, control centre or communications infrastructure is modified with a malicious intent [77].”
Background
- Authors
- Hug, G., & Giampapa, J. A.
- Affiliations
- Carnegie Mellon University (US)
- Software Engineering Institute (US)
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2012-09
- Volume
- 3
- Issue
- 3
- Pages
- 1362-1370
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2022810949
- Cited by
- 595
- References
- 0
- Citations by year
- 2026: 24 · 2025: 29 · 2024: 43 · 2023: 44 · 2022: 59 · 2021: 55 · 2020: 72 · 2019: 64 · 2018: 65 · 2017: 50 · 2016: 40 · 2015: 23 · 2014: 16 · 2013: 11
- FWCI
- 23.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Smart Grid (publishedVersion)
- Funders
- U.S. Department of Defense (FA8721-05-C-0003)
- U.S. Department of Energy
- Carnegie Mellon University
- Australian Government
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
- Keywords
- false data injection attacks, AC state estimation, SCADA security, vulnerability assessment, bad data detection, graph theory, measurement selection, network topology, power system protection
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