Online false data injection attack detection with wavelet transform and deep neural networks

JQ James, Y Hou, VOK Li - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
State estimation is critical to the operation and control of modern power systems. However,
many cyber-attacks, such as false data injection attacks, can circumvent conventional …

Real-time detection of hybrid and stealthy cyber-attacks in smart grid

MN Kurt, Y Yılmaz, X Wang - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
For a safe and reliable operation of the smart grid, timely detection of cyber-attacks is of
critical importance. Moreover, considering smarter and more capable attackers, robust …

A city-wide real-time traffic management system: Enabling crowdsensing in social Internet of vehicles

X Wang, Z Ning, X Hu, ECH Ngai… - IEEE …, 2018 - ieeexplore.ieee.org
As an emerging platform based on ITS, SIoV is promising for applications of traffic
management and road safety in smart cities. However, the endto-end delay is large in store …

Distributed attack detection in a water treatment plant: Method and case study

S Adepu, A Mathur - IEEE Transactions on Dependable and …, 2018 - ieeexplore.ieee.org
The rise in attempted and successful attacks on critical infrastructure, such as power grid
and water treatment plants, has led to an urgent need for the creation and adoption of …

Distributed framework for detecting PMU data manipulation attacks with deep autoencoders

J Wang, D Shi, Y Li, J Chen, H Ding… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Phasor measurement unit (PMU) data manipulation attacks (PDMAs) may blind the control
centers to the real-time operating conditions of power systems. Detecting these attacks …

Detecting false data injection attacks against power system state estimation with fast go-decomposition approach

B Li, T Ding, C Huang, J Zhao, Y Yang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
State estimation is a fundamental function in modern energy management system, but its
results may be vulnerable to false data injection attacks (FDIAs). FDIA is able to change the …

Detection of false data injection attacks in smart grids using recurrent neural networks

A Ayad, HEZ Farag, A Youssef… - 2018 IEEE power & …, 2018 - ieeexplore.ieee.org
False Data Injection (FDI) attacks create serious security challenges to the operation of
power systems, especially when they are carefully constructed to bypass conventional state …

Feature selection–based detection of covert cyber deception assaults in smart grid communications networks using machine learning

S Ahmed, Y Lee, SH Hyun, I Koo - IEEE Access, 2018 - ieeexplore.ieee.org
The integration of computing and modern wireless communications techniques is enabling
prolific intelligent monitoring and efficient control of electric power systems in the frameworks …

Detecting stealthy false data injection attacks in power grids using deep learning

M Ashrafuzzaman, Y Chakhchoukh… - … & Mobile Computing …, 2018 - ieeexplore.ieee.org
The electric power grid, as a critical national infrastructure, is under constant threat from
cyber-attacks. State estimation (SE) is at the foundation of a series of critical control …

Towards automated statistical partial discharge source classification using pattern recognition techniques

H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …