Rahim Taheri

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Binary Features

Malware Detection

Malicious Executables

Top Venues

IEEE Trans. Ind. Informatics

Future Gener. Comput. Syst.

Publications

Ehsan Nowroozi, Imran Haider, Rahim Taheri, Mauro Conti
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks. CoRR (2024)
Seyedsina Nabavirazavi, Rahim Taheri, Sundaraja Sitharama Iyengar
Enhancing federated learning robustness through randomization and mixture. Future Gener. Comput. Syst. 158 (2024)
Rahim Taheri, Mohammad Shojafar, Farzad Arabikhan, Alexander E. Gegov
Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks. Comput. Secur. 146 (2024)
Rahim Taheri, Farzad Arabikhan, Alexander E. Gegov, Negar Akbari
Robust Aggregation Function in Federated Learning. ICIKS (2023)
Pedram Asef, Rahim Taheri, Mohammad Shojafar, Iosif Mporas, Rahim Tafazolli
SIEMS: A Secure Intelligent Energy Management System for Industrial IoT Applications. IEEE Trans. Ind. Informatics 19 (1) (2023)
Farzad Arabikhan, Alexander E. Gegov, Rahim Taheri, Negar Akbari, Mohamed Bader-EI-Den
Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process. ICIKS (2023)
Seyedsina Nabavirazavi, Rahim Taheri, Mohammad Shojafar, Sundaraja Sitharama Iyengar
Impact of Aggregation Function Randomization against Model Poisoning in Federated Learning. TrustCom (2023)
Marjan Golmaryami, Rahim Taheri, Zahra Pooranian, Mohammad Shojafar, Pei Xiao
SETTI: A Self-supervised AdvErsarial Malware DeTection ArchiTecture in an IoT Environment. ACM Trans. Multim. Comput. Commun. Appl. 18 (2s) (2022)
Marjan Golmaryami, Rahim Taheri, Zahra Pooranian, Mohammad Shojafar, Pei Xiao
SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment. CoRR (2022)
Meysam Ghahramani, Rahim Taheri, Mohammad Shojafar, Reza Javidan, Shaohua Wan
Deep Image: A precious image based deep learning method for online malware detection in IoT Environment. CoRR (2022)
Sanaz Soltani, Mohammad Shojafar, Rahim Taheri, Rahim Tafazolli
Can Open and AI-Enabled 6G RAN Be Secured? IEEE Consumer Electron. Mag. 11 (6) (2022)
Rahim Taheri
UNBUS: Uncertainty-aware Deep Botnet Detection System in Presence of Perturbed Samples. CoRR (2022)
Rahim Taheri, Reza Javidan, Zahra Pooranian
Adversarial android malware detection for mobile multimedia applications in IoT environments. Multim. Tools Appl. 80 (11) (2021)
Meysam Ghahramani, Reza Javidan, Mohammad Shojafar, Rahim Taheri, Mamoun Alazab, Rahim Tafazolli
RSS: An Energy-Efficient Approach for Securing IoT Service Protocols Against the DoS Attack. IEEE Internet Things J. 8 (5) (2021)
Zahra Pooranian, Mohammad Shojafar, Sahil Garg, Rahim Taheri, Rahim Tafazolli
LEVER: Secure Deduplicated Cloud Storage With Encrypted Two-Party Interactions in Cyber-Physical Systems. IEEE Trans. Ind. Informatics 17 (8) (2021)
Rahim Taheri, Mohammad Shojafar, Mamoun Alazab, Rahim Tafazolli
Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT. IEEE Trans. Ind. Informatics 17 (12) (2021)
Rahim Taheri, Meysam Ghahramani, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Mauro Conti
Similarity-based Android malware detection using Hamming distance of static binary features. Future Gener. Comput. Syst. 105 (2020)
Rahim Taheri, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Ali Miri, Mauro Conti
On defending against label flipping attacks on malware detection systems. Neural Comput. Appl. 32 (18) (2020)
Rahim Taheri, Reza Javidan, Mohammad Shojafar, P. Vinod, Mauro Conti
Can machine learning model with static features be fooled: an adversarial machine learning approach. Clust. Comput. 23 (4) (2020)
Rahim Taheri, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Ali Miri, Mauro Conti
On Defending Against Label Flipping Attacks on Malware Detection Systems. CoRR (2019)
Mohammad Shojafar, Rahim Taheri, Zahra Pooranian, Reza Javidan, Ali Miri, Yaser Jararweh
Automatic Clustering of Attacks in Intrusion Detection Systems. AICCSA (2019)
Rahim Taheri, Meysam Ghahramani, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Mauro Conti
Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features. CoRR (2019)
Rahim Taheri, Reza Javidan, Mohammad Shojafar, Vinod P, Mauro Conti
Can Machine Learning Model with Static Features be Fooled: an Adversarial Machine Learning Approach. CoRR (2019)