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Amir Namavar Jahromi
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2020 – today
- 2024
- [j8]Sepideh Bahadoripour
, Hadis Karimipour
An explainable multi-modal model for advanced cyber-attack detection in industrial control systems. Internet Things 25: 101092 (2024) - 2023
- [j7]Amir Namavar Jahromi
An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things. Comput. Commun. 198: 108-116 (2023) - [c5]Arshia Aflaki, Hadis Karimipour, Amir Namavar Jahromi:
A GAN-Based False Data Injection and Civil Attack Detection Framework for Digital Relays with Feature Selection. SMC 2023: 5027-5033 - [i2]Amir Namavar Jahromi, Ebrahim Pourjafari, Hadis Karimipour, Amit Satpathy, Lovell Hodge:
CRL+: A Novel Semi-Supervised Deep Active Contrastive Representation Learning-Based Text Classification Model for Insurance Data. CoRR abs/2302.04343 (2023) - 2022
- [b1]Amir Namavar Jahromi:
AI-enabled Cybersecurity Framework for Industrial Control Systems. University of Calgary, Alberta, Canada, 2022 - [j6]Abdulrahman Al-Abassi, Amir Namavar Jahromi
A Self-Tuning Cyber-Attacks' Location Identification Approach for Critical Infrastructures. IEEE Trans. Ind. Informatics 18(7): 5018-5027 (2022) - 2021
- [j5]Zahra Moti, Sattar Hashemi, Hadis Karimipour, Ali Dehghantanha, Amir Namavar Jahromi, Lida Abdi, Fatemeh Alavi:
Generative adversarial network to detect unseen Internet of Things malware. Ad Hoc Networks 122: 102591 (2021) - [j4]Amir Namavar Jahromi
Toward Detection and Attribution of Cyber-Attacks in IoT-Enabled Cyber-Physical Systems. IEEE Internet Things J. 8(17): 13712-13722 (2021) - [c4]Amir Namavar Jahromi, Hadis Karimipour, Ali Dehghantanha:
Deep Federated Learning-Based Cyber-Attack Detection in Industrial Control Systems. PST 2021: 1-6 - [i1]Shahrzad Hadayeghparast, Amir Namavar Jahromi, Hadis Karimipour:
A Hybrid Deep Learning-Based State Forecasting Method for Smart Power Grids. CoRR abs/2102.05657 (2021) - 2020
- [j3]Seyed Mehdi Hazrati Fard, Hadis Karimipour, Ali Dehghantanha, Amir Namavar Jahromi
Ensemble sparse representation-based cyber threat hunting for security of smart cities. Comput. Electr. Eng. 88: 106825 (2020) - [j2]Amir Namavar Jahromi
An improved two-hidden-layer extreme learning machine for malware hunting. Comput. Secur. 89 (2020) - [j1]Amir Namavar Jahromi, Sattar Hashemi, Ali Dehghantanha
An Enhanced Stacked LSTM Method With No Random Initialization for Malware Threat Hunting in Safety and Time-Critical Systems. IEEE Trans. Emerg. Top. Comput. Intell. 4(5): 630-640 (2020) - [c3]Zahra Moti, Sattar Hashemi, Amir Namavar Jahromi:
A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data. ISCISC 2020: 48-53 - [c2]Shahrzad Hadayeghparast, Amir Namavar Jahromi, Hadis Karimipour:
A Hybrid Deep Learning-Based Power System State Forecasting. SMC 2020: 893-898 - [p1]Jesus Castillo Cabello, Hadis Karimipour, Amir Namavar Jahromi, Ali Dehghantanha
Big-Data and Cyber-Physical Systems in Healthcare: Challenges and Opportunities. Handbook of Big Data Privacy 2020: 255-283
2010 – 2019
- 2019
- [c1]Amir Namavar Jahromi, Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha:
A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data. CASCON 2019: 14-23
Coauthor Index
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