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

2025

Federated RNN for intrusion detection system in IoT environment under adversarial attack

Rezaei, H., Taheri, R., Jordanov, I., Shojafar, M.

4 Jul 2025, In: Journal of Network and Systems Management. 33, 29p., 82

Research output: Article

FedLLMGuard: A federated large language model for anomaly detection in 5G networks

Rezaei, H., Taheri, R., Shojafar, M.

26 Jun 2025, In: Computer Networks. 269, 16p., 111473

Research output: Article

LFD-IDS: bagging-based data poisoning attacks against cyberattack detection in connected vehicle

Pooranian, Z., Taheri, R., Martinelli, F.

26 Jun 2025, In: IEEE Transactions on Intelligent Transportation Systems

Research output: Article

GRAF-IDS: graph-based clustering as aggregation for federated intrusion detection system in IoT network

Rezaei, H., Taheri, R., Shojafar, M., Foh, C. H.

17 Jun 2025, In: Neural Computing and Applications, 23p.

Research output: Article

A survey on privacy and security in distributed cloud computing: exploring federated learning and beyond

Rahdari, A., Keshavarz, E., Nowroozi, E., Taheri, R., Hajizadeh, M., Mohammadi, M., Sinaei, S., Bauschert, T.

1 Jun 2025, In: IEEE Open Journal of the Communications Society . 6

Research output: Article

An automated framework for prioritizing software requirements

Jamasb, B., Khayami, S. R., Akbari, R., Taheri, R.

20 Mar 2025, In: Electronics. 14, 6, 24p., 1220

Research output: Article

Federated learning under attack: exposing vulnerabilities through data poisoning attacks in computer networks

Nowroozi, E., Haider, I., Taheri, R., Conti, M.

1 Feb 2025, In: IEEE Transactions on Network and Service Management. 22, 1, p. 822-831, 10p.

Research output: Article

2024

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

Ghahramani, M., Taheri, R., Shojafar, M., Javidan, R., Wan, S.

1 Oct 2024, In: Internet of Things (Netherlands). 27, 17p., 101300

Research output: Article

Verifying the robustness of machine learning based intrusion detection against adversarial perturbation

Nowroozi, E., Taheri, R., Hajizadeh, M., Bauschert, T.

24 Sep 2024,

Research output: Conference contribution

Peer-to-peer meets onion: the Veilid Framework

Glatzer, S., Shiaeles, S., Khusainov, R., Taheri, R.

4 Sep 2024,

Research output: Conference contribution

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