False data injection attacks against state estimation in electric power grids

Y Liu, P Ning, MK Reiter - ACM Transactions on Information and System …, 2011 - dl.acm.org
A power grid is a complex system connecting electric power generators to consumers
through power transmission and distribution networks across a large geographical area …

[PDF][PDF] Detecting false data injection attacks on dc state estimation

RB Bobba, KM Rogers, Q Wang, H Khurana… - Preprints of the first …, 2010 - tcipg.org
State estimation is an important power system application that is used to estimate the state of
the power transmission networks using (usually) a redundant set of sensor measurements …

Robust massively parallel dynamic state estimation of power systems against cyber-attack

H Karimipour, V Dinavahi - IEEE Access, 2017 - ieeexplore.ieee.org
The evolution of traditional energy networks toward smart grids increases security
vulnerabilities in the power system infrastructure. State estimation plays an essential role in …

Achieving efficient detection against false data injection attacks in smart grid

R Xu, R Wang, Z Guan, L Wu, J Wu, X Du - IEEE Access, 2017 - ieeexplore.ieee.org
Internet of Things (IoT) technologies have been broadly applied in smart grid for monitoring
physical or environmental conditions. Especially, state estimation is an important IoT-based …

On false data injection attack against dynamic state estimation on smart power grids

H Karimipour, V Dinavahi - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Although the advancement of cyber technologies in sensing, communication and smart
measurement devices significantly enhanced power system security and reliability, its …

Topology perturbation for detecting malicious data injection

KL Morrow, E Heine, KM Rogers… - 2012 45th Hawaii …, 2012 - ieeexplore.ieee.org
Bad measurement data exists in power systems for a number of reasons. Malicious data
injection attacks, which alter the values of measurements without being detected, are one …

Vulnerability of the largest normalized residual statistical test to leverage points

J Zhao, L Mili - IEEE Transactions on Power Systems, 2018 - ieeexplore.ieee.org
The largest normalized residual statistical test (LNRT) is claimed to have the ability to detect
noncritical single or multiple interacting but nonconforming bad data. However, we show in …

Bad data detection in the context of leverage point attacks in modern power networks

A Majumdar, BC Pal - IEEE Transactions on Smart Grid, 2016 - ieeexplore.ieee.org
This paper demonstrates a concept to detect bad data in state estimation when the leverage
measurements are tampered with gross error. The concept is based on separating leverage …

[图书][B] Smart grid using big data analytics: a random matrix theory approach

RC Qiu, P Antonik - 2017 - books.google.com
This book is aimed at students in communications and signal processing who want to extend
their skills in the energy area. It describes power systems and why these backgrounds are …

A game-theoretic approach for high-assurance of data trustworthiness in sensor networks

HS Lim, G Ghinita, E Bertino… - 2012 IEEE 28th …, 2012 - ieeexplore.ieee.org
Sensor networks are being increasingly deployed in many application domains ranging from
environment monitoring to supervising critical infrastructure systems (eg, the power grid) …