A survey of denial-of-service attacks and solutions in the smart grid
The scope, scale, and intensity of real, as well as potential attacks, on the Smart Grid have
been increasing and thus gaining more attention. An important component of Smart Grid …
been increasing and thus gaining more attention. An important component of Smart Grid …
Intrusion detection in smart meters data using machine learning algorithms: A research report
M Ravinder, V Kulkarni - Frontiers in Energy Research, 2023 - frontiersin.org
The intrusion detection in network traffic for crucial smart metering applications based on
radio sensor networks is becoming very important in the Smart Grid area. The network's …
radio sensor networks is becoming very important in the Smart Grid area. The network's …
LoRa IoT-based architecture for advanced metering infrastructure in residential smart grid
JL Gallardo, MA Ahmed, N Jara - IEEE Access, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) technologies are opening new opportunities and services for different
smart grid applications such as advanced meter infrastructures (AMI), distributed energy …
smart grid applications such as advanced meter infrastructures (AMI), distributed energy …
Network intrusion detection using machine learning techniques
IS Thaseen, B Poorva… - … conference on emerging …, 2020 - ieeexplore.ieee.org
Intrusion detection over packets on a network aims at classifying different types of packets
without decrypting its contents to detect any intrusions in the network using machine …
without decrypting its contents to detect any intrusions in the network using machine …
Timely detection and mitigation of IoT-based cyberattacks in the smart grid
The ongoing changes, updates, and upgrades of the Smart Grid infrastructure open up new
cybersecurity challenges whose successful and satisfactory handling is a vital necessity for …
cybersecurity challenges whose successful and satisfactory handling is a vital necessity for …
Anomaly detection in smart metering infrastructure with the use of time series analysis
T Andrysiak, Ł Saganowski, P Kiedrowski - Journal of Sensors, 2017 - Wiley Online Library
The article presents solutions to anomaly detection in network traffic for critical smart
metering infrastructure, realized with the use of radio sensory network. The structure of the …
metering infrastructure, realized with the use of radio sensory network. The structure of the …
A training-resistant anomaly detection system
S Muller, J Lancrenon, C Harpes, Y Le Traon… - Computers & …, 2018 - Elsevier
Modern network intrusion detection systems rely on machine learning techniques to detect
traffic anomalies and thus intruders. However, the ability to learn the network behaviour in …
traffic anomalies and thus intruders. However, the ability to learn the network behaviour in …
WADAC: Privacy-preserving anomaly detection and attack classification on wireless traffic
R Sridharan, RR Maiti, NO Tippenhauer - … of the 11th ACM conference on …, 2018 - dl.acm.org
In this work, we address the problem of detecting application-layer attacks on nearby
wireless devices. In particular, we assume that the detection scheme is limited to link-layer …
wireless devices. In particular, we assume that the detection scheme is limited to link-layer …
Mitigating iot-based cyberattacks on the smart grid
The impact of cybersecurity attacks on the Smart Grid may cause cyber as well as physical
damages, as clearly shown in the recent attacks on the power grid in Ukraine where …
damages, as clearly shown in the recent attacks on the power grid in Ukraine where …
Statistical similarity of critical infrastructure network traffic based on nearest neighbor distances
Industrial control systems (ICSs) operate a variety of critical infrastructures such as
waterworks and power plants using cyber physical systems (CPSs). Abnormal or malicious …
waterworks and power plants using cyber physical systems (CPSs). Abnormal or malicious …