Search Results for author: Hadis Karimipour

Found 7 papers, 1 papers with code

A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems

1 code implementation4 Apr 2023 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.

Cyber Attack Detection

CRL+: A Novel Semi-Supervised Deep Active Contrastive Representation Learning-Based Text Classification Model for Insurance Data

no code implementations8 Feb 2023 Amir Namavar Jahromi, Ebrahim Pourjafari, Hadis Karimipour, Amit Satpathy, Lovell Hodge

Therefore, the Insurance Industry is among the ones that can benefit from applying technologies for the intelligent analysis of free text through Natural Language Processing (NLP).

Active Learning Representation Learning +2

An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids

no code implementations10 Feb 2021 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.

An Ensemble Deep Learning-based Cyber-Attack Detection in Industrial Control System

no code implementations2 May 2020 Abdulrahman Al-Abassi, Hadis Karimipour, Ali Dehghantanha, Reza M. Parizi

The integration of communication networks and the Internet of Things (IoT) in Industrial Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing devastating outcomes.

Cyber Attack Detection Intrusion Detection +1

Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey

no code implementations11 Apr 2020 Syeda Manjia Tahsien, Hadis Karimipour, Petros Spachos

A huge technological advancement has been noticed in Machine Learning (ML) which has opened many possible research windows to address ongoing and future challenges in IoT.

BIG-bench Machine Learning

Smart Households Demand Response Management with Micro Grid

no code implementations8 Jul 2019 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.

Management

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