Hesamodin Mohammadian

According to our database, Hesamodin Mohammadian authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Large language model (LLM) for software security: Code analysis, malware analysis, reverse engineering.

Hamed Jelodar, Samita Bai, Parisa Hamedi, Hesamodin Mohammadian, Roozbeh Razavi-Far, Ali A. Ghorbani

J. Inf. Secur. Appl., 2026

2025

Recent Advances in Malware Detection: Graph Learning and Explainability.

Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Hesamodin Mohammadian, Mahdi Rabbani, Samuel Ansong, Griffin Higgins, Ali A. Ghorbani

CoRR, February, 2025

On the consistency of GNN explanations for malware detection.

Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Hesamodin Mohammadian, Ali A. Ghorbani

Inf. Sci., 2025

Role of cybersecurity for a secure global communication eco-system: A comprehensive cyber risk assessment for satellite communications.

Samuel Ansong, Windhya Rankothge, Somayeh Sadeghi, Hesamodin Mohammadian, Farrukh Bin Rashid, Ali A. Ghorbani

Comput. Secur., 2025

Explainable malware detection through integrated graph reduction and learning techniques.

Hesamodin Mohammadian, Griffin Higgins, Samuel Ansong, Roozbeh Razavi-Far, Ali A. Ghorbani

Big Data Res., 2025

2024

Privacy-Preserving for Images in Satellite Communications: A Comprehensive Review of Chaos-Based Encryption.

Farrukh Bin Rashid, Windhya Hansinie Rankothge, Somayeh Sadeghi, Hesamodin Mohammadian, Ali A. Ghorbani

CoRR, 2024

Poisoning and Evasion: Deep Learning-Based NIDS under Adversarial Attacks.

Hesamodin Mohammadian, Arash Habibi Lashkari, Ali A. Ghorbani

Proceedings of the 21st Annual International Conference on Privacy, Security and Trust, 2024

2023

A gradient-based approach for adversarial attack on deep learning-based network intrusion detection systems.

Hesamodin Mohammadian, Ali A. Ghorbani, Arash Habibi Lashkari

Appl. Soft Comput., April, 2023

Evaluating Label Flipping Attack in Deep Learning-Based NIDS.

Hesamodin Mohammadian, Arash Habibi Lashkari, Ali A. Ghorbani

Proceedings of the 20th International Conference on Security and Cryptography, 2023

Securing Supply Chain: A Comprehensive Blockchain-based Framework and Risk Assessment.

Leila Rashidi, Windhya Hansinie Rankothge, Hesamodin Mohammadian, Rashid Hussain Khokhar, Brian Frei, Shawn Ellis, Lago Freitas, Ali Akbar Ghorbani

Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

2022

Evaluating Deep Learning-based NIDS in Adversarial Settings.

Hesamodin Mohammadian, Arash Habibi Lashkari, Ali A. Ghorbani

Proceedings of the 8th International Conference on Information Systems Security and Privacy, 2022