Rahim Taheri

According to our database, Rahim Taheri authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Meysam Ghahramani, Rahim Taheri, Mohammad Shojafar, Reza Javidan, Shaohua Wan

Internet Things, 2024

Enhancing federated learning robustness through randomization and mixture.

Seyedsina Nabavirazavi, Rahim Taheri, Sundaraja Sitharama Iyengar

Future Gener. Comput. Syst., 2024

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

Ehsan Nowroozi, Imran Haider, Rahim Taheri, Mauro Conti

CoRR, 2024

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

Rahim Taheri, Mohammad Shojafar, Farzad Arabikhan, Alexander E. Gegov

Comput. Secur., 2024

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

Ehsan Nowroozi, Rahim Taheri, Mehrdad Hajizadeh, Thomas Bauschert

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

Peer-to-Peer Meets Onion: The Veilid Framework.

Sven Glatzer, Stavros Shiaeles, Rinat Khusainov, Rahim Taheri

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

2023

SIEMS: A Secure Intelligent Energy Management System for Industrial IoT Applications.

Pedram Asef, Rahim Taheri, Mohammad Shojafar, Iosif Mporas, Rahim Tafazolli

IEEE Trans. Ind. Informatics, 2023

Impact of Aggregation Function Randomization against Model Poisoning in Federated Learning.

Seyedsina Nabavirazavi, Rahim Taheri, Mohammad Shojafar, Sundaraja Sitharama Iyengar

Proceedings of the 22nd IEEE International Conference on Trust, 2023

Robust Aggregation Function in Federated Learning.

Rahim Taheri, Farzad Arabikhan, Alexander E. Gegov, Negar Akbari

Proceedings of the Advances in Information Systems, Artificial Intelligence and Knowledge Management, 2023

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

Farzad Arabikhan, Alexander E. Gegov, Rahim Taheri, Negar Akbari, Mohamed Bader-El-Den

Proceedings of the Advances in Information Systems, Artificial Intelligence and Knowledge Management, 2023

2022

SETTI: A Self-supervised AdvErsarial Malware DeTection ArchiTecture in an IoT Environment.

Marjan Golmaryami, Rahim Taheri, Zahra Pooranian, Mohammad Shojafar, Pei Xiao

ACM Trans. Multim. Comput. Commun. Appl., 2022

UNBUS: Uncertainty-aware Deep Botnet Detection System in Presence of Perturbed Samples.

Rahim Taheri

CoRR, 2022

Can Open and AI-Enabled 6G RAN Be Secured?

Sanaz Soltani, Mohammad Shojafar, Rahim Taheri, Rahim Tafazolli

IEEE Consumer Electron. Mag., 2022

2021

Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT.

Rahim Taheri, Mohammad Shojafar, Mamoun Alazab, Rahim Tafazolli

IEEE Trans. Ind. Informatics, 2021

LEVER: Secure Deduplicated Cloud Storage With Encrypted Two-Party Interactions in Cyber-Physical Systems.

Zahra Pooranian, Mohammad Shojafar, Sahil Garg, Rahim Taheri, Rahim Tafazolli

IEEE Trans. Ind. Informatics, 2021

Adversarial android malware detection for mobile multimedia applications in IoT environments.

Rahim Taheri, Reza Javidan, Zahra Pooranian

Multim. Tools Appl., 2021

RSS: An Energy-Efficient Approach for Securing IoT Service Protocols Against the DoS Attack.

Meysam Ghahramani, Reza Javidan, Mohammad Shojafar, Rahim Taheri, Mamoun Alazab, Rahim Tafazolli

IEEE Internet Things J., 2021

2020

On defending against label flipping attacks on malware detection systems.

Rahim Taheri, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Ali Miri, Mauro Conti

Neural Comput. Appl., 2020

Similarity-based Android malware detection using Hamming distance of static binary features.

Rahim Taheri, Meysam Ghahramani, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Mauro Conti

Future Gener. Comput. Syst., 2020

Can machine learning model with static features be fooled: an adversarial machine learning approach.

Rahim Taheri, Reza Javidan, Mohammad Shojafar, P. Vinod, Mauro Conti

Clust. Comput., 2020

2019

Automatic Clustering of Attacks in Intrusion Detection Systems.

Mohammad Shojafar, Rahim Taheri, Zahra Pooranian, Reza Javidan, Ali Miri, Yaser Jararweh

Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019