Publications

Below, you'll find our publications. If you have questions about any specific publication, please feel free to message us, and we will respond as soon as possible.

Rezaei, H., Taheri, R., & Shojafar, M. (2026). IE-RAP: An Intelligence and Efficient Reader Anti-Collision Protocol for Dense RFID Networks. arXiv preprint arXiv:2602.06626. 

Ghahremani, M., Podshyvalin, A., & Taheri, R. (2026). Evaluating and Defending Against Adversarial Attacks on LLM-Generated LSTM Models. In Adversarial Example Detection and Mitigation Using Machine Learning (pp. 183-194). Cham: Springer Nature Switzerland. 

Rezaei, H., Taheri, R., & Nowroozi, E. (2026). Defense Strategies in Federated Learning Against Adversarial Attacks. In Adversarial Example Detection and Mitigation Using Machine Learning (pp. 237-248). Cham: Springer Nature Switzerland. 

Rezaei, H., Taheri, R., & Palmieri, F. (2026). A Risk-Stratified Benchmark Dataset for Bad Randomness (SWC-120) Vulnerabilities in Ethereum Smart Contracts. arXiv preprint arXiv:2601.09836.

Soleymani, S. A., Eslamnejad, M., Shojafar, M., & Tafazolli, R. (2025). Detecting and Mitigating Adversarial Machine Learning in Open RAN Using Digital Twin. IEEE Wireless Communications Letters. 

Rezaei, H., Taheri, R., Nowroozi, E., Hajizadeh, M., Shiaeles, S., & Bauschert, T. (2025). A Survey on Security and Privacy in Federated Learning-Based Intrusion Detection Systems for 5G and Beyond Networks. IEEE Open Journal of the Communications Society, 7, 253-300. 

Eslamnejad, M., Taheri, R., Shojafar, M., & Bader-El-Den, M. (2025). Federated learning-based robust android malware detection: label-flipping attacks and defenses. Neural Computing and Applications, 37(32), 27057-27082. 

Rezaei, H., Taheri, R., Jordanov, I., & Shojafar, M. (2025). Federated RNN for intrusion detection system in IoT environment under adversarial attack. Journal of Network and Systems Management, 33(4), 82. 

Rezaei, H., Taheri, R., & Shojafar, M. (2025). FedLLMGuard: A federated large language model for anomaly detection in 5G networks. Computer Networks, 269, 111473. 

Rezaei, H., Golsorkhtabaramiri, M., Taheri, R., Foh, C. H., & Shojafar, M. (2025, August). LightChain-RAN-RF: A Lightweight Blockchain-Enabled RFID Framework for O-RAN Edge Environments. In 2025 IEEE International Conference on High Performance Computing and Communications (HPCC) (pp. 1070-1076). IEEE. 

Rezaei, H., Taheri, R., Jordanov, I., & Shiaeles, S. (2025, August). Adapt-LFA: Adaptive gradient-guided label flipping attack against federated learning-based intrusion detection in IoT. In 2025 IEEE International Conference on Cyber Security and Resilience (CSR) (pp. 407-412). IEEE. 

Rezaei, H., Taheri, R., Shojafar, M., & Foh, C. H. (2025). GRAF-IDS: graph-based clustering as aggregation for federated intrusion detection system in IoT network. Neural Computing and Applications, 37(22), 18401-18423. 

Nowroozi, E., Mohammadi, M., Rahdari, A., Taheri, R., & Conti, M. (2025). A random deep feature selection approach to mitigate transferable adversarial attacks. IEEE Transactions on Network and Service Management. 

Pooranian, Z., Taheri, R., & Martinelli, F. (2025). LFD-IDS: bagging-based data poisoning attacks against cyberattack detection in connected vehicle. IEEE Transactions on Intelligent Transportation Systems. 

Rahdari, A., Keshavarz, E., Nowroozi, E., Taheri, R., Hajizadeh, M., Mohammadi, M., ... & Bauschert, T. (2025). A survey on privacy and security in distributed cloud computing: Exploring federated learning and beyond. IEEE Open Journal of the Communications Society.

Jamasb, B., Khayami, S. R., Akbari, R., & Taheri, R. (2025). An automated framework for prioritizing software requirements. Electronics, 14(6), 1220. 

Nowroozi, E., Haider, I., Taheri, R., & Conti, M. (2025). Federated learning under attack: Exposing vulnerabilities through data poisoning attacks in computer networks. IEEE Transactions on Network and Service Management, 22(1), 822-831. 

Soleymani, S. A., Eslamnejad, M., Alimohammadi, H., Akbas, A., Foh, C. H., & Shojafar, M. (2024, October). DDoS detection and mitigation using d/xApp in O-RAN. In 2024 IEEE Future Networks World Forum (FNWF) (pp. 283-290). IEEE. 

Taheri, R., Shojafar, M., Arabikhan, F., and Gegov, A., Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven
adversarial attacks. Computers & Security 146 (2024): 104035. 

Emami, Y., Gao, H., Li, K., Almeida, L., Tovar, E., & Han, Z. (2024). Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation. IEEE Transactions on Vehicular Technology.

Ghahramani, M., Taheri, R., Shojafar, M., Javidan, R. and Wan, S., 2024. Deep Image: A precious image based deep learning method for online malware detection in IoT Environment. Internet of Things, 27, p.101300. 

Nabavirazavi, S., Taheri, R., and Iyengar, S., Enhancing federated learning robustness through randomization and mixture. Future Generation Computer Systems 158 (2024): 28-43. 

Nowroozi, E., Taheri, R., Hajizadeh, M. and Bauschert, T., 2024. Verifying the Robustness of Machine Learning based Intrusion Detection Against Adversarial Perturbation. Authorea Preprints. 

Nowroozi, E., Haider I., Taheri, R. and Conti, M., 2024. Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks. IEEE Transactions on Network and Service Management.

Emami, Y., Li, K., Almeida, L., & Ni, W. (2024). On the use of immersive digital technologies for designing and operating UAVs. arXiv preprint arXiv:2407.16288. 

Nabavirazavi, S., Taheri, S., Shojafar, M., and Iyengar, S., Impact of aggregation function randomization against model poisoning in federated learning. 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2023.

Rezaie, H., & Golsorkhtabaramiri, M. (2023). A shared channel access protocol with energy saving in hybrid Radio‐Frequency Identification networks and wireless sensor networks for use in the internet of things platform. IET Radar, Sonar & Navigation, 17(11), 1654-1663.

Nabavirazavi, S., Taheri, R., Ghahremani, M., and Iyengar, S. Model poisoning attack against federated learning with adaptive aggregation. In Adversarial Multimedia Forensics, pp. 1-27. Cham: Springer Nature Switzerland, 2023. 

Emami, Y., Li, K., Niu, Y., & Tovar, E. (2023, May). AoI Minimization Using Multi-Agent Proximal Policy Optimization in UAVs-Assisted Sensor Networks. In ICC 2023-IEEE International Conference on Communications (pp. 228-233). IEEE.

Rezaie, H., Golsorkhtabaramiri, M., & Jafari Navimipour, N. (2023). A radio frequency identification reader collision avoidance protocol for dense reader environments in the context of Industry 4.0. IET Radar, Sonar & Navigation, 17(3), 362-373. 

Taheri, R., Arabikhan, F., Gegov, A., and Akbari, N. Robust Aggregation Function in Federated Learning. In International Conference on Information and Knowledge Systems, pp. 168-175. Cham: Springer Nature Switzerland, 2023. 

Pooranian, Z., Shojafar, M., Taheri, R. and Tafazolli, R., 2023. PASCOINFOG/PASFOG: Privacy-preserving Data Deduplication Algorithms for Fog Storage Systems. IEEE Consumer Electronics Magazine. 

Emami, Y., Li, K., Almeida, L., Ni, W., & Han, Z. (2024). Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities. arXiv preprint arXiv:2408.12548.

Emami, Y. (2023). Deep Reinforcement Learning for Joint Cruise Control and Intelligent Data Acquisition in UAVs-Assisted Sensor Networks. arXiv preprint arXiv:2312.09953. 

Arabikhan, F., Gegov, A., Taheri, R., Akbari, N., and Bader-EI-Den, M., Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process. In International Conference on Information and Knowledge Systems, pp. 296-306. Cham: Springer Nature Switzerland, 2023. 

Nabavirazavi, S., Iyengar, S. S., & Chaudhary, N. K. (2022, December). Lightweight Malicious Packet Classifier for IoT Networks. In International Conference on Information Security, Privacy and Digital Forensics (pp. 139-150). Singapore: Springer Nature Singapore. 

Nabavirazavi, S., & Iyengar, S. S. (2022). LAKEE: A Lightweight Authenticated Key Exchange Protocol for Power Constrained Devices. arXiv preprint arXiv:2210.16367. 

Li, K., Ni, W., Emami, Y., & Dressler, F. (2022). Data-driven flight control of internet-of-drones for sensor data aggregation using multi-agent deep reinforcement learning. IEEE Wireless Communications, 29(4), 18-23. 

Golmaryami, M., Taheri, R., Pooranian, Z., Shojafar, M., & Xiao, P. (2022). Setti: As elf-supervised adv e rsarial malware de t ection archi t ecture in an iot environment. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 18(2s), 1-21. 

Asef, P., Taheri, R., Shojafar, M., Mporas, I., & Tafazolli, R. (2022). SIEMS: A secure intelligent energy management system for industrial IoT applications. IEEE Transactions on Industrial Informatics, 19(1), 1039-1050.