474 citations · 869 across the 13 of their papers we have counts for
15 papers
A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems
Sepideh Bahadoripour, Ethan MacDonald, Hadis Karimipour
The growing number of cyber-attacks against Industrial Control Systems (ICS) in recent years has elevated security concerns due to the potential catastrophic impact. Considering th…
CRL+: A Novel Semi-Supervised Deep Active Contrastive Representation Learning-Based Text Classification Model for Insurance Data
Amir Namavar Jahromi, Ebrahim Pourjafari, Hadis Karimipour +2
Financial sector and especially the insurance industry collect vast volumes of text on a daily basis and through multiple channels (their agents, customer care centers, emails, soc…
Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks
Abbas Yazdinejad, Ali Dehghantanha, Reza M. Parizi +3
Nowadays, blockchain-based technologies are being developed in various industries to improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-base…
Communication Layer Security in Smart Farming: A Survey on Wireless Technologies
Hossein Mohammadi Rouzbahani, Hadis Karimipour, Evan Fraser +4
Human population growth has driven rising demand for food that has, in turn, imposed huge impacts on the environment. In an effort to reconcile our need to produce more sustenance…
Cybersecurity in Smart Farming: Canada Market Research
Ali Dehghantanha, Hadis Karimipour, Amin Azmoodeh
The Cyber Science Lab (CSL) and Smart Cyber-Physical System (SCPS) Lab at the University of Guelph conduct a market study of cybersecurity technology adoption and requirements for…
An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids
Hossein Mohammadi Rouzbahani, Hadis Karimipour, Lei Lei
Smart grids extremely rely on Information and Communications Technology (ICT) and smart meters to control and manage numerous parameters of the network. However, using these infras…
A Hybrid Deep Learning-Based State Forecasting Method for Smart Power Grids
Shahrzad Hadayeghparast, Amir Namavar Jahromi, Hadis Karimipour
Smart power grids are one of the most complex cyber-physical systems, delivering electricity from power generation stations to consumers. It is critically important to know exactly…
Instability Prediction in Smart Cyber-physical Grids Using Feedforward Neural Networks
Amirreza Jafari, Farzad Darbandi, Hadis Karimipour
Due to the use of huge number of sensors and the increasing use of communication networks, cyber-physical systems (CPS) are becoming vulnerable to cyber-attacks. The ever-increasin…
An Ensemble Deep Learning-based Cyber-Attack Detection in Industrial Control System
Abdulrahman Al-Abassi, Hadis Karimipour, Ali Dehghantanha +1
The integration of communication networks and the Internet of Things (IoT) in Industrial Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing devasta…
Security Aspects of Internet of Things aided Smart Grids: a Bibliometric Survey
Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha +2
The integration of sensors and communication technology in power systems, known as the smart grid, is an emerging topic in science and technology. One of the critical issues in the…
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey
Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos
Over the last decade, IoT platforms have been developed into a global giant that grabs every aspect of our daily lives by advancing human life with its unaccountable smart services…
Blockchain Applications in Power Systems: A Bibliometric Analysis
Hossein Mohammadi Rouzbahani, Hadis Karimipour, Ali Dehghantanha +1
Power systems are growing rapidly, due to the ever-increasing demand for electrical power. These systems require novel methodologies and modern tools and technologies, to better pe…
Smart Households Demand Response Management with Micro Grid
Hossein Mohammadi Rouzbahani, Abolfazl Rahimnezhad, Hadis Karimipour
Nowadays the emerging smart grid technology opens up the possibility of two-way communication between customers and energy utilities. Demand Response Management (DRM) offers the pr…
Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection
Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha
False Data Injection (FDI) attacks are a common form of Cyber-attack targetting smart grids. Detection of stealthy FDI attacks is impossible by the current bad data detection syste…
Dynamic Behavior Control of Induction Motor with STATCOM
Majid Dehghani, Peyman Karimyan, Mehradad Abedi +1
STATCOMs is used widely in power systems these days. Traditionally, this converter was controlled using a double-loop control or Direct Output Voltage (DOV) controller. But DOV con…