Amir Namavar Jahromi

According to our database, Amir Namavar Jahromi authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An explainable multi-modal model for advanced cyber-attack detection in industrial control systems.

Sepideh Bahadoripour, Hadis Karimipour, Amir Namavar Jahromi, Anik Islam

Internet Things, April, 2024

2023

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

Amir Namavar Jahromi, Ebrahim Pourjafari, Hadis Karimipour, Amit Satpathy, Lovell Hodge

CoRR, 2023

An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things.

Amir Namavar Jahromi, Hadis Karimipour, Ali Dehghantanha

Comput. Commun., 2023

A GAN-Based False Data Injection and Civil Attack Detection Framework for Digital Relays with Feature Selection.

Arshia Aflaki, Hadis Karimipour, Amir Namavar Jahromi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

AI-enabled Cybersecurity Framework for Industrial Control Systems.

Amir Namavar Jahromi

PhD thesis, 2022

A Self-Tuning Cyber-Attacks' Location Identification Approach for Critical Infrastructures.

Abdulrahman Al-Abassi, Amir Namavar Jahromi, Hadis Karimipour, Ali Dehghantanha, Pierluigi Siano, Henry Leung

IEEE Trans. Ind. Informatics, 2022

2021

Toward Detection and Attribution of Cyber-Attacks in IoT-Enabled Cyber-Physical Systems.

Amir Namavar Jahromi, Hadis Karimipour, Ali Dehghantanha, Kim-Kwang Raymond Choo

IEEE Internet Things J., 2021

A Hybrid Deep Learning-Based State Forecasting Method for Smart Power Grids.

Shahrzad Hadayeghparast, Amir Namavar Jahromi, Hadis Karimipour

CoRR, 2021

Generative adversarial network to detect unseen Internet of Things malware.

Zahra Moti, Sattar Hashemi, Hadis Karimipour, Ali Dehghantanha, Amir Namavar Jahromi, Lida Abdi, Fatemeh Alavi

Ad Hoc Networks, 2021

Deep Federated Learning-Based Cyber-Attack Detection in Industrial Control Systems.

Amir Namavar Jahromi, Hadis Karimipour, Ali Dehghantanha

Proceedings of the 18th International Conference on Privacy, Security and Trust, 2021

2020

An Enhanced Stacked LSTM Method With No Random Initialization for Malware Threat Hunting in Safety and Time-Critical Systems.

Amir Namavar Jahromi, Sattar Hashemi, Ali Dehghantanha, Reza M. Parizi, Kim-Kwang Raymond Choo

IEEE Trans. Emerg. Top. Comput. Intell., 2020

An improved two-hidden-layer extreme learning machine for malware hunting.

Amir Namavar Jahromi, Sattar Hashemi, Ali Dehghantanha, Kim-Kwang Raymond Choo, Hadis Karimipour, David Ellis Newton, Reza M. Parizi

Comput. Secur., 2020

Ensemble sparse representation-based cyber threat hunting for security of smart cities.

Seyed Mehdi Hazrati Fard, Hadis Karimipour, Ali Dehghantanha, Amir Namavar Jahromi, Gautam Srivastava

Comput. Electr. Eng., 2020

A Hybrid Deep Learning-Based Power System State Forecasting.

Shahrzad Hadayeghparast, Amir Namavar Jahromi, Hadis Karimipour

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data.

Zahra Moti, Sattar Hashemi, Amir Namavar Jahromi

Proceedings of the 17th International ISC Conference on Information Security and Cryptology, 2020

Big-Data and Cyber-Physical Systems in Healthcare: Challenges and Opportunities.

Jesus Castillo Cabello, Hadis Karimipour, Amir Namavar Jahromi, Ali Dehghantanha, Reza M. Parizi

Proceedings of the Handbook of Big Data Privacy., 2020

2019

A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data.

Amir Namavar Jahromi, Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019