Rahim Taheri

Rahim Taheri received his Ph.D. degree in Information Technology from Shiraz University of Technology, Iran, in 2020. Now he is a Senior Lecturer in Cyber Security and Forensics at the University of Portsmouth, UK. Before joining the University of Portsmouth, he was a post-doctoral research associate at King’s Communications, Learning, and Information Processing (Kclip) Lab, King’s College London, UK. His main research interests include ML applications in security, adversarial ML, and federated learning.

Rahim has several peer-reviewed publications published in prestigious journals such as IEEE TII, IEEE IoT, FGCS Elsevier, ACM TOMM, and NCAA Springer. He is an IEEE Senior Member, and an ACM Professional Member. As the research team lead at ASPA, he provides support to team members across various research projects and serves as a key contributor on some of them. Below is a list of the projects he contributes to:

• Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks.

• Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks

• SPLIT-IDS: Label Flipping Attack against Split Learning based Intrusion Detection System

• Deep Image: A precious image based deep learning method for online malware detection in IoT Environment

• Enhancing federated learning robustness through randomization and mixture

• Verifying the Robustness of Machine Learning based Intrusion Detection Against Adversarial Perturbation

• Impact of aggregation function randomization against model poisoning in federated learning

• PASCOINFOG/PASFOG: Privacy-preserving Data Deduplication Algorithms for Fog Storage Systems

• Model poisoning attack against federated learning with adaptive aggregation

• Robust Aggregation Function in Federated Learning

• Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process.

• Setti: As elf-supervised adv e rsarial malware de t ection archi t ecture in an iot environment.

• SIEMS: A secure intelligent energy management system for industrial IoT applications.