Machine learning in generation, detection, and mitigation of cyberattacks in smart grid: A survey
Smart grid (SG) is a complex cyber-physical system that utilizes modern cyber and physical
equipment to run at an optimal operating point. Cyberattacks are the principal threats …
equipment to run at an optimal operating point. Cyberattacks are the principal threats …
A survey of machine learning-based cyber-physical attack generation, detection, and mitigation in smart-grid
Cyber-physical (CP) attacks are the principal dangers confronting the usage and
advancement of the contemporary smart-grid (SG) system. Advancement of SG has added a …
advancement of the contemporary smart-grid (SG) system. Advancement of SG has added a …
Decentralized Smart Grid System: A Survey On Machine Learning-Based Intrusion Detection Approaches
Smart grid is a two-way communication technology power system that sends information
between the control server and consumer. It consists of different IoTs connected to a smart …
between the control server and consumer. It consists of different IoTs connected to a smart …
Smart Meter Fault Diagnosis based on Directional Gradient KNN
Z Yang, Y Wang, J Chen, Z Zhou - 2023 5th International …, 2023 - ieeexplore.ieee.org
This paper presents a novel approach to enhance the effectiveness and precision of smart
meter fault diagnosis by utilizing the K-nearest neighbor (KNN) algorithm. Initially, the …
meter fault diagnosis by utilizing the K-nearest neighbor (KNN) algorithm. Initially, the …
Dynamic Machine Learning Algorithm for AODV Routing Attacks Detection
Ad hoc On-Demand Distance Vector (AODV) routing protocol is vulnerable to some routing
attacks including blackhole attack and flooding attack. Typically, these two types of routing …
attacks including blackhole attack and flooding attack. Typically, these two types of routing …