Efficient detection of false data injection attack with invertible automatic encoder and long-short-term memory

Efficient detection of false data injection attack with invertible automatic encoder and long-short-term memory

The false data injection attack can tamper with the measurement information collected by the Supervisory Control and Data Acquisition, threat the security of state estimation. Therefore, the analysing methods and detection methods of false data injection attacks have important theoretical and practi...

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Bibliographic Details
Main Authors: Yuancheng Li, Wendan Huo, Rixuan Qiu, Jing Zeng
Format: Article
Language:English
Published: Wiley 2019-11-01
Series:IET Cyber-Physical Systems
Subjects:
power system security
power system state estimation
smart power grids
power engineering computing
recurrent neural nets
scada systems
false data injection attack
invertible automatic encoder
long-short-term memory
power big data training
supervisory control and data acquisition
state estimation security
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2019.0010

Internet

https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2019.0010

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