Hadis Karimipour
Orcid: 0000-0001-7948-4033
According to our database1,
Hadis Karimipour
authored at least 86 papers
between 2015 and 2025.
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Bibliography
2025
A Probabilistic-Based Approach for Detecting Simultaneous Load Redistribution Attacks Through Entropy Analysis and Deep Learning.
IEEE Trans. Smart Grid, March, 2025
IEEE Commun. Mag., March, 2025
A Federated Meta Learning-Based Secure Data Consolidation Scheme for Industrial AIoT Leveraging Drone.
IEEE Trans. Veh. Technol., January, 2025
2024
An explainable multi-modal model for advanced cyber-attack detection in industrial control systems.
Internet Things, April, 2024
A Robust Privacy-Preserving Federated Learning Model Against Model Poisoning Attacks.
IEEE Trans. Inf. Forensics Secur., 2024
Hybrid Privacy Preserving Federated Learning Against Irregular Users in Next-Generation Internet of Things.
J. Syst. Archit., 2024
A GNN-Based Adversarial Internet of Things Malware Detection Framework for Critical Infrastructure: Studying Gafgyt, Mirai, and Tsunami Campaigns.
IEEE Internet Things J., 2024
Application of Artificial Intelligence in Supporting Healthcare Professionals and Caregivers in Treatment of Autistic Children.
CoRR, 2024
A Deep Learning-Based FDI Attack Detection Scheme for Secure Data Consolidation in Cooperative UxV Operations Using Zero Touch Networking.
Proceedings of the 10th IEEE World Forum on Internet of Things, 2024
2023
A Generalizable Deep Neural Network Method for Detecting Attacks in Industrial Cyber-Physical Systems.
IEEE Syst. J., December, 2023
Internet Things, December, 2023
Digit. Commun. Networks, October, 2023
Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning.
IEEE Trans. Consumer Electron., August, 2023
An ensemble deep learning model for cyber threat hunting in industrial internet of things.
Digit. Commun. Networks, February, 2023
CRL+: A Novel Semi-Supervised Deep Active Contrastive Representation Learning-Based Text Classification Model for Insurance Data.
CoRR, 2023
An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things.
Comput. Commun., 2023
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks.
Comput. Ind., 2023
A Federated Transfer Learning-Empowered Blockchain-Enabled Secure Knowledge Sharing Scheme for Unmanned Any Vehicles in Smart Cities.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
An Ensemble Learning to Detect Decision-Based Adversarial Attacks in Industrial Control Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
A GAN-Based False Data Injection and Civil Attack Detection Framework for Digital Relays with Feature Selection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE International Conference on Industrial Technology, 2023
2022
Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-Based IIoT Networks.
IEEE Trans. Ind. Informatics, 2022
IIoT Deep Malware Threat Hunting: From Adversarial Example Detection to Adversarial Scenario Detection.
IEEE Trans. Ind. Informatics, 2022
A Self-Tuning Cyber-Attacks' Location Identification Approach for Critical Infrastructures.
IEEE Trans. Ind. Informatics, 2022
Phys. Commun., 2022
FDI attack detection using extra trees algorithm and deep learning algorithm-autoencoder in smart grid.
Int. J. Crit. Infrastructure Prot., 2022
CoRR, 2022
Adaptive Control for Security and Resilience of Networked Cyber-Physical Systems: Where Are We?
Proceedings of the 4th IEEE International Conference on Trust, 2022
2021
Physical layer attack identification and localization in cyber-physical grid: An ensemble deep learning based approach.
Phys. Commun., 2021
A Deep Neural Network Combined with Radial Basis Function for Abnormality Classification.
Mob. Networks Appl., 2021
Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security.
IEEE Internet Things J., 2021
Toward Detection and Attribution of Cyber-Attacks in IoT-Enabled Cyber-Physical Systems.
IEEE Internet Things J., 2021
A Multikernel and Metaheuristic Feature Selection Approach for IoT Malware Threat Hunting in the Edge Layer.
IEEE Internet Things J., 2021
Data Aggregation Mechanisms on the Internet of Things: A Systematic Literature Review.
Internet Things, 2021
Internet Things, 2021
Internet Things, 2021
CoRR, 2021
Instability Prediction in Smart Cyber-physical Grids Using Feedforward Neural Networks.
CoRR, 2021
Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges.
Comput. Secur., 2021
Introduction to the special section on application of artificial intelligence in security of cyber physical systems (VSI-aicps).
Comput. Electr. Eng., 2021
Ad Hoc Networks, 2021
IEEE Access, 2021
IEEE Access, 2021
Proceedings of the 18th International Conference on Privacy, Security and Trust, 2021
2020
Secure Blockchain-Based Traffic Load Balancing Using Edge Computing and Reinforcement Learning.
Proceedings of the Blockchain Cybersecurity, Trust and Privacy, 2020
Proceedings of the Blockchain Cybersecurity, Trust and Privacy, 2020
Proceedings of the Blockchain Cybersecurity, Trust and Privacy, 2020
J. Netw. Comput. Appl., 2020
Relaxation-based anomaly detection in cyber-physical systems using ensemble kalman filter.
IET Cyper-Phys. Syst.: Theory & Appl., 2020
Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis.
J. Grid Comput., 2020
Comput. Secur., 2020
An energy-efficient artificial bee colony-based clustering in the internet of things.
Comput. Electr. Eng., 2020
Ensemble sparse representation-based cyber threat hunting for security of smart cities.
Comput. Electr. Eng., 2020
An efficient route planning model for mobile agents on the internet of things using Markov decision process.
Ad Hoc Networks, 2020
IEEE Access, 2020
SLPoW: Secure and Low Latency Proof of Work Protocol for Blockchain in Green IoT Networks.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020
An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Unsupervised Stacked Autoencoders for Anomaly Detection on Smart Cyber-physical Grids.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the Handbook of Big Data Privacy., 2020
Proceedings of the Handbook of Big Data Privacy., 2020
Proceedings of the Handbook of Big Data Privacy., 2020
Proceedings of the Handbook of Big Data Privacy., 2020
Proceedings of the Handbook of Big Data Privacy., 2020
Malware Elimination Impact on Dynamic Analysis: An Experimental Machine Learning Approach.
Proceedings of the Handbook of Big Data Privacy., 2020
Proceedings of the Handbook of Big Data Privacy., 2020
Proceedings of the Handbook of Big Data Privacy., 2020
Proceedings of the Handbook of Big Data Privacy., 2020
Proceedings of the Handbook of Big Data Privacy., 2020
RAT Hunter: Building Robust Models for Detecting Remote Access Trojans Based on Optimum Hybrid Features.
Proceedings of the Handbook of Big Data Privacy., 2020
Proceedings of the Handbook of Big Data Privacy., 2020
Proceedings of the Handbook of Big Data Privacy., 2020
2019
J. Syst. Archit., 2019
J. Inf. Secur. Appl., 2019
Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection.
CoRR, 2019
A Deep and Scalable Unsupervised Machine Learning System for Cyber-Attack Detection in Large-Scale Smart Grids.
IEEE Access, 2019
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019
A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data.
Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019
2018
Robust Massively Parallel Dynamic State Estimation of Power Systems Against Cyber-Attack.
IEEE Access, 2018
2015
IEEE Trans. Smart Grid, 2015