Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
On the resilience of modern power systems: A comprehensive review from the cyber-physical perspective
The digital transformation of power systems into cyber-physical systems (CPSs) is the
inevitable trend of modern power systems with the integration of large-scale renewable …
inevitable trend of modern power systems with the integration of large-scale renewable …
Comprehensive survey and taxonomies of false data injection attacks in smart grids: attack models, targets, and impacts
Smart Grid is organically growing over the centrally controlled power system and becoming
a massively interconnected cyber–physical system with advanced technologies of fast …
a massively interconnected cyber–physical system with advanced technologies of fast …
Detection of false data injection attacks in smart grid: A secure federated deep learning approach
As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber
attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one …
attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one …
Detecting false data injection attacks in smart grids: A semi-supervised deep learning approach
The dependence on advanced information and communication technology increases the
vulnerability in smart grids under cyber-attacks. Recent research on unobservable false data …
vulnerability in smart grids under cyber-attacks. Recent research on unobservable false data …
Online false data injection attack detection with wavelet transform and deep neural networks
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 …
many cyber-attacks, such as false data injection attacks, can circumvent conventional …
Enhancing cyber-resilience in integrated energy system scheduling with demand response using deep reinforcement learning
Optimally scheduling multi-energy flow is an effective method to utilize renewable energy
sources (RES) and improve the stability and economy of integrated energy systems (IES) …
sources (RES) and improve the stability and economy of integrated energy systems (IES) …
Cyber‐physical attacks and defences in the smart grid: a survey
The smart grid is arguably one of the most complex cyber‐physical systems (CPS). Complex
security challenges have been revealed in both the physical and the cyber parts of the smart …
security challenges have been revealed in both the physical and the cyber parts of the smart …
False data injection attacks against state estimation in power distribution systems
The existing research on false data injection (FDI) attacks against state estimation in
transmission systems cannot be trivially extended to distribution feeders. The main reason is …
transmission systems cannot be trivially extended to distribution feeders. The main reason is …
Deep learning-based interval state estimation of AC smart grids against sparse cyber attacks
Due to the aging of electric infrastructures, conventional power grid is being modernized
toward smart grid that enables two-way communications between consumer and utility, and …
toward smart grid that enables two-way communications between consumer and utility, and …
Security aspects of Internet of Things aided smart grids: A bibliometric survey
The integration of sensors and communication technology in power systems, known as the
smart grid, is an emerging topic in science and technology. One of the critical issues in the …
smart grid, is an emerging topic in science and technology. One of the critical issues in the …