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A Data-Based Detection Method Against False Data Injection Attacks
IEEE Design & Test, 2020Editor’s notes: CPSs are vulnerable to process-aware attacks that aim to disrupt the proper functioning or hamper performance/efficiency/stability/safety of the physical systems/processes of the CPSs. This article considers utilization of state estimators in smart grids for detection of false data injection attacks using data-driven anomaly detection ...
Charalambos Konstantinou +1 more
openaire +1 more source
Applied Sciences
Current electricity sectors will be unable to keep up with commercial and residential customers’ increasing demand for data-enabled power systems. Therefore, next-generation power systems must be developed.
MD Jainul Abudin +3 more
semanticscholar +1 more source
Current electricity sectors will be unable to keep up with commercial and residential customers’ increasing demand for data-enabled power systems. Therefore, next-generation power systems must be developed.
MD Jainul Abudin +3 more
semanticscholar +1 more source
IEEE Transactions on Artificial Intelligence
Machine learning-based detection of false data injection attacks (FDIAs) in smart grids relies on labeled measurement data for training and testing. The majority of existing detectors are developed assuming that the adopted datasets for training have ...
Abdulrahman Takiddin +4 more
semanticscholar +1 more source
Machine learning-based detection of false data injection attacks (FDIAs) in smart grids relies on labeled measurement data for training and testing. The majority of existing detectors are developed assuming that the adopted datasets for training have ...
Abdulrahman Takiddin +4 more
semanticscholar +1 more source
Power grid resilience against false data injection attacks
2016 IEEE Power and Energy Society General Meeting (PESGM), 2016Smart Grid security has motivated numerous researches from multiple disciplines. Among the recently discovered security challenges, the False Data Injection (FDI) has drawn great attention from power and energy, computer, and communication research community, because of its potential to manipulate measurements in state estimation (SE) without being ...
Yan, Jun +4 more
openaire +2 more sources
IEEE Transactions on Instrumentation and Measurement
False data injection attacks (FDIAs) are an important network attack threatening the security of power systems to tamper with instruments and measurements.
Hantong Feng +3 more
semanticscholar +1 more source
False data injection attacks (FDIAs) are an important network attack threatening the security of power systems to tamper with instruments and measurements.
Hantong Feng +3 more
semanticscholar +1 more source
IEEE Transactions on Smart Grid
This paper proposes a fast-lightweight location detection framework (FLLF) for false data injection attacks (FDIAs). The location detection of false data injection attacks is traditionally realized by computationally intensive neural networks, which can ...
Jianxin Zhu +4 more
semanticscholar +1 more source
This paper proposes a fast-lightweight location detection framework (FLLF) for false data injection attacks (FDIAs). The location detection of false data injection attacks is traditionally realized by computationally intensive neural networks, which can ...
Jianxin Zhu +4 more
semanticscholar +1 more source
Smart Frequency Control of Cyber-Physical Power System Under False Data Injection Attacks
IEEE Transactions on Circuits and Systems Part 1: Regular PapersThis study proposes a two-level defense strategy to cope with false data injection (FDI) attacks applied to the control and measurement signals of a two-area load frequency control (LFC) system.
Soroush Oshnoei +2 more
semanticscholar +1 more source
IEEE Transactions on Smart Grid
False data injection attacks (FDIA) pose a significant threat to the microgrids by corrupting information exchange among controller units. An effective solution to enhance the cyber-resilience is urgently needed, given the unbalanced advantages between ...
Jiahong Dai +3 more
semanticscholar +1 more source
False data injection attacks (FDIA) pose a significant threat to the microgrids by corrupting information exchange among controller units. An effective solution to enhance the cyber-resilience is urgently needed, given the unbalanced advantages between ...
Jiahong Dai +3 more
semanticscholar +1 more source
False Data Injection Attacks in Internet of Things
2018Internet of Things (IoT) facilitates networking among different types of electronic devices. The emerging false data injection attacks (FDIAs) have drawn attention and heavily researched in power systems and smart grid. The cyber criminals compromise a networked device and inject data.
Biozid Bostami +2 more
openaire +1 more source
IEEE Transactions on Industrial Informatics
This article proposes a remedial action scheme (RAS) based on the concept of deep learning to mitigate the impacts of false data injection (FDI) cyberattacks on smart power systems.
E. Naderi, A. Asrari
semanticscholar +1 more source
This article proposes a remedial action scheme (RAS) based on the concept of deep learning to mitigate the impacts of false data injection (FDI) cyberattacks on smart power systems.
E. Naderi, A. Asrari
semanticscholar +1 more source