Masking Transmission Line Outages via False Data Injection Attacks
- 14 March 2016
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Forensics and Security
- Vol. 11 (7), 1592-1602
- https://doi.org/10.1109/tifs.2016.2542061
Abstract
Today's power systems become more prone to cyber-attacks due to the high integration of information technologies. In this paper, we demonstrate that the outages of some lines can be masked by injecting false data into a set of measurements. The success of the topology attack can be guaranteed by making that: 1) the injected false data obeys Kirchhoff current law and Kirchhoff voltage law to avoid being detected by the bad data detection program in the state estimation and 2) the residual in the line outage detection is increased such that the line outage cannot be detected by phasor measurement unit data. A bilevel optimization problem is set up to determine the optimal attack vector that can maximize the residual of the outaged line. The IEEE 39-bus and 118-bus systems are used to demonstrate the masking scheme.Keywords
This publication has 31 references indexed in Scilit:
- Local Topology Attacks in Smart GridsIEEE Transactions on Smart Grid, 2016
- Bilevel Model for Analyzing Coordinated Cyber-Physical Attacks on Power SystemsIEEE Transactions on Smart Grid, 2015
- Power System Reliability Evaluation With SCADA Cybersecurity ConsiderationsIEEE Transactions on Smart Grid, 2015
- Modeling of Local False Data Injection Attacks With Reduced Network InformationIEEE Transactions on Smart Grid, 2015
- Local Load Redistribution Attacks in Power Systems With Incomplete Network InformationIEEE Transactions on Smart Grid, 2014
- Characterizing Honeypot-Captured Cyber Attacks: Statistical Framework and Case StudyIEEE Transactions on Information Forensics and Security, 2013
- External system line outage identification using phasor measurement unitsIEEE Transactions on Power Systems, 2012
- MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and EducationIEEE Transactions on Power Systems, 2010
- False data injection attacks against state estimation in electric power gridsPublished by Association for Computing Machinery (ACM) ,2009
- Weighted least squares methods for load estimation in distribution networksIEEE Transactions on Power Systems, 2003