CPS attacks mitigation approaches on power electronic systems with security challenges for smart grid applications: A review
This paper presents an inclusive review of the cyber-physical (CP) attacks, vulnerabilities,
mitigation approaches on the power electronics and the security challenges for the smart …
mitigation approaches on the power electronics and the security challenges for the smart …
Deep learning in security of internet of things
Y Li, Y Zuo, H Song, Z Lv - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Internet-of-Things (IoT) technology is increasingly prominent in the current stage of social
development. All walks of life have begun to implement the IoT integration technology, so as …
development. All walks of life have begun to implement the IoT integration technology, so as …
Deep ensemble learning-based approach to real-time power system state estimation
Power system state estimation (PSSE) is commonly formulated as weighted least-square
(WLS) algorithm and solved using iterative methods such as Gauss-Newton methods …
(WLS) algorithm and solved using iterative methods such as Gauss-Newton methods …
A tri-level optimization model for power grid defense with the consideration of post-allocated DGs against coordinated cyber-physical attacks
H He, S Huang, Y Liu, T Zhang - International Journal of Electrical Power & …, 2021 - Elsevier
Due to the extensive integration of communication infrastructures, the power grid is
vulnerable to a range of cyber-physical coordinated attacks. To increase the reliability of the …
vulnerable to a range of cyber-physical coordinated attacks. To increase the reliability of the …
Anomaly detection and resilience-oriented countermeasures against cyberattacks in smart grids
H Shahinzadeh, A Mahmoudi, J Moradi… - 2021 7th …, 2021 - ieeexplore.ieee.org
Security in smart grids has been investigated by many scholars so far. Among the existing
security issues, False Data Injection (FDI) attacks in energy, computers, and communication …
security issues, False Data Injection (FDI) attacks in energy, computers, and communication …
Data consistency for data-driven smart energy assessment
G Chicco - Frontiers in big Data, 2021 - frontiersin.org
In the smart grid era, the number of data available for different applications has increased
considerably. However, data could not perfectly represent the phenomenon or process …
considerably. However, data could not perfectly represent the phenomenon or process …
A bi-level model for detecting and correcting parameter cyber-attacks in power system state estimation
N Aljohani, A Bretas - Applied Sciences, 2021 - mdpi.com
Power system state estimation is an important component of the status and healthiness of
the underlying electric power grid real-time monitoring. However, such a component is …
the underlying electric power grid real-time monitoring. However, such a component is …
State estimator and machine learning analysis of residual differences to detect and identify fdi and parameter errors in smart grids
In the modern Smart Grid (SG), cyber-security is an increasingly important topic of research.
An attacker can mislead the State Estimation (SE) process through a False Data Injection …
An attacker can mislead the State Estimation (SE) process through a False Data Injection …
Bridging Machine Learning for Smart Grid Applications
N Bhusal - 2021 - search.proquest.com
University of Nevada, Reno BRIDGING MACHINE LEARNING FOR SMART GRID APPLICATIONS
A Dissertation Submitted in Partial Fulfillment Page 1 University of Nevada, Reno BRIDGING …
A Dissertation Submitted in Partial Fulfillment Page 1 University of Nevada, Reno BRIDGING …
Algorithms and Models for Smart Grid Cyber-Physical Systems Security Enhancement
T Zou - 2021 - search.proquest.com
This dissertation presents further contributions to power system state estimation in the
presence of a malicious data injection attacks. An accurate and fast algorithm for detection …
presence of a malicious data injection attacks. An accurate and fast algorithm for detection …