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Open AccessJournal ArticleDOI

False Data Attacks Against AC State Estimation With Incomplete Network Information

Xuan Liu, +1 more
- 01 Sep 2017 - 
- Vol. 8, Iss: 5, pp 2239-2248
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TLDR
It is shown that an attacker can construct an undetectable attack vector against ac state estimation based on a few measurements in the attacking region associated with boundary buses without knowing the full topology and parameter information of the entire power network.
Abstract
Power systems are being exposed to cyber-attacks due to the high integration of information technology and the vulnerability of communication networks. Existing false data attacks research focus on dc state estimation. In this paper, we show that an attacker can construct an undetectable attack vector against ac state estimation based on a few measurements in the attacking region associated with boundary buses without knowing the full topology and parameter information of the entire power network. An iteration approach is adopted to obtain the attack vector. The simulations on the IEEE 14-bus and 118-bus systems are used to demonstrate the correctness and effectiveness of the proposed attack scheme. This paper provides a basis to study the attack behaviors under the ac case, and a theoretical guide to develop protection strategies and detection methods.

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Journal ArticleDOI

Cyber-physical attacks and defences in the smart grid: a survey

Haibo He, +1 more
TL;DR: This paper provides a comprehensive and systematic review of the critical attack threats and defence strategies in the smart grid, and focuses on prominent CP attack schemes with significant impact on the smartgrid operation and corresponding defense solutions.
Journal ArticleDOI

Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks

TL;DR: A new false data injection attack detection mechanism for ac state estimation that can effectively capture inconsistency by analyzing temporally consecutive estimated system states using wavelet transform and deep neural network techniques is proposed.
Journal ArticleDOI

Deep Learning-Based Interval State Estimation of AC Smart Grids Against Sparse Cyber Attacks

TL;DR: In this article, a scenario-based two-stage sparse cyber-attack models for smart grid with complete and incomplete network information are proposed, and an interval state estimation-based defense mechanism is developed innovatively in order to effectively detect the established cyber-attacks.
Journal ArticleDOI

False Data Injection Attacks Against State Estimation in Power Distribution Systems

TL;DR: Simulation results demonstrate that the proposed practical FDI attack, even with the approximated system state, is more likely to compromise the state estimation without being detected, in comparison with the traditional attacks.
Journal ArticleDOI

A Generalized False Data Injection Attacks Against Power System Nonlinear State Estimator and Countermeasures

TL;DR: A robust detector is proposed that checks the measurement statistical consistency using a subset of secure PMU measurements and demonstrates the effectiveness and robustness of the proposed method even the secure measurements contain noise and bad data.
References
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Journal ArticleDOI

MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

TL;DR: The details of the network modeling and problem formulations used by MATPOWER, including its extensible OPF architecture, are presented, which are used internally to implement several extensions to the standard OPF problem, including piece-wise linear cost functions, dispatchable loads, generator capability curves, and branch angle difference limits.
Journal ArticleDOI

False data injection attacks against state estimation in electric power grids

TL;DR: In this article, a new class of attacks, called false data injection attacks, against state estimation in electric power grids is presented and analyzed, under the assumption that the attacker can access the current power system configuration information and manipulate the measurements of meters at physically protected locations such as substations.
Book

Power generation

Proceedings ArticleDOI

False data injection attacks against state estimation in electric power grids

TL;DR: A new class of attacks, called false data injection attacks, against state estimation in electric power grids are presented, showing that an attacker can exploit the configuration of a power system to launch such attacks to successfully introduce arbitrary errors into certain state variables while bypassing existing techniques for bad measurement detection.
Journal ArticleDOI

Cyber–Physical Security of a Smart Grid Infrastructure

TL;DR: It is argued that the “smart” grid, replacing its incredibly successful and reliable predecessor, poses a series of new security challenges, among others, that require novel approaches to the field of cyber security.
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