Dr Rahim Taheri
Biography
Rahim Taheri is a Senior Lecturer in the School of Computing at the University of Portsmouth, United Kingdom. Before joining the school, he was a post-doctoral research associate with King’s Communications, Learning and Information Processing (kclip) lab at King’s College London.
Rahim Taheri received the B.Sc. degree in Computer Engineering in 2007, and the M.Sc. degree and the Ph.D. degree in Information Technology-Computer Networks in 2015 and 2020, respectively. In 2018, he was a visiting Ph.D. student with the SPRITZ Security and Privacy Research Group, University of Padua, Italy.
Rahim has several peer-reviewed publications published in prestigious journals such as IEEE TII, IEEE TNSM, IEEE IoT, FGCS, ComSec and IoT Elsevier, ACM TOMM, and NCAA Springer. He is an IEEE Senior Member, and an ACM Professional Member.
Research interests
Rahim Taheri's research interests are at the intersection of security, privacy, and machine learning. His main research interests can be itemized as:
- Malware Analysis
- Intrusion Detection Systems
- Adversarial Machine Learning
- Applied Machine Learning
- Network Security
- Federated and Split Learning
- Differential Privacy
Research outputs
2026
Defense strategies in federated learning against adversarial attacks
Rezaei, H., Taheri, R., Nowroozi, E.
22 Jan 2026,
Research output: Chapter (peer-reviewed)
Adversarial Example Detection and Mitigation Using Machine Learning
Nowroozi, E., Taheri, R., Cordeiro, L.
22 Jan 2026,
Research output: Book
Evaluating and defending against adversarial attacks on LLM-generated LSTM Models
Ghahremani, M., Podshyvalin, A., Taheri, R.
22 Jan 2026,
Research output: Chapter (peer-reviewed)
2025
A survey on security and privacy in federated learning-based intrusion detection systems for 5G and beyond networks
Rezaei, H., Taheri, R., Nowroozi, E., Hajizadeh, M., Shiaeles, S., Bauschert, T.
15 Dec 2025, In: IEEE Open Journal of the Communications Society . 7
Research output: Article
LightChain-RAN-RF: a lightweight blockchain-enabled RFID framework for O-RAN edge environments
Rezaei, H., Golsorkhtabaramiri , M., Taheri, R., Foh, C. H., Shojafar, M.
31 Oct 2025,
Research output: Conference contribution
Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks
Taheri, R., Shojafar, M., Arabikhan, F., Gegov, A.
1 Oct 2025, In: Computers and Security
Research output: Article
Federated learning-based robust android malware detection: label-flipping attacks and defenses
Eslamnejad, M., Taheri, R., Shojafar, M., Bader-El-Den, M.
17 Sep 2025, In: Neural Computing and Applications
Research output: Article
FedLLMGuard: A federated large language model for anomaly detection in 5G networks
Rezaei, H., Taheri, R., Shojafar, M.
1 Sep 2025, In: Computer Networks. 269, 16p., 111473
Research output: Article
Adapt-LFA: adaptive gradient-guided label flipping attack against federated learning-based intrusion detection in IoT
Rezaei, H., Taheri, R., Jordanov, I., Shiaeles, S.
26 Aug 2025,
Research output: Conference contribution
A random deep feature selection approach to mitigate transferable adversarial attacks
Nowroozi, E., Mohammadi, M., Rahdari, A., Taheri, R., Conti, M.
30 Jul 2025, In: IEEE Transactions on Network and Service Management
Research output: Article