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Rahim Taheri
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2020 – today
- 2024
- [j13]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: 104035 (2024) - [j12]Seyedsina Nabavirazavi, Rahim Taheri, Sundaraja Sitharama Iyengar:
Enhancing federated learning robustness through randomization and mixture. Future Gener. Comput. Syst. 158: 28-43 (2024) - [j11]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. Internet Things 27: 101300 (2024) - [c6]Sven Glatzer, Stavros Shiaeles, Rinat Khusainov, Rahim Taheri:
Peer-to-Peer Meets Onion: The Veilid Framework. CSR 2024: 1-6 - [c5]Ehsan Nowroozi, Rahim Taheri, Mehrdad Hajizadeh, Thomas Bauschert:
Verifying the Robustness of Machine Learning based Intrusion Detection Against Adversarial Perturbation. CSR 2024: 9-15 - [i7]Ehsan Nowroozi, Imran Haider, Rahim Taheri, Mauro Conti:
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks. CoRR abs/2403.02983 (2024) - 2023
- [j10]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): 1039-1050 (2023) - [c4]Rahim Taheri, Farzad Arabikhan, Alexander E. Gegov, Negar Akbari:
Robust Aggregation Function in Federated Learning. ICIKS 2023: 168-175 - [c3]Farzad Arabikhan, Alexander E. Gegov, Rahim Taheri, Negar Akbari, Mohamed Bader-El-Den:
Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process. ICIKS 2023: 296-306 - [c2]Seyedsina Nabavirazavi, Rahim Taheri, Mohammad Shojafar, Sundaraja Sitharama Iyengar:
Impact of Aggregation Function Randomization against Model Poisoning in Federated Learning. TrustCom 2023: 165-172 - 2022
- [j9]Sanaz Soltani, Mohammad Shojafar, Rahim Taheri, Rahim Tafazolli:
Can Open and AI-Enabled 6G RAN Be Secured? IEEE Consumer Electron. Mag. 11(6): 11-12 (2022) - [j8]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): 122:1-122:21 (2022) - [i6]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 abs/2204.01690 (2022) - [i5]Marjan Golmaryami, Rahim Taheri, Zahra Pooranian, Mohammad Shojafar, Pei Xiao:
SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment. CoRR abs/2204.07772 (2022) - [i4]Rahim Taheri:
UNBUS: Uncertainty-aware Deep Botnet Detection System in Presence of Perturbed Samples. CoRR abs/2204.09502 (2022) - 2021
- [j7]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): 3619-3635 (2021) - [j6]Rahim Taheri, Reza Javidan, Zahra Pooranian:
Adversarial android malware detection for mobile multimedia applications in IoT environments. Multim. Tools Appl. 80(11): 16713-16729 (2021) - [j5]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): 5759-5768 (2021) - [j4]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): 8442-8452 (2021) - 2020
- [j3]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): 3233-3253 (2020) - [j2]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: 230-247 (2020) - [j1]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): 14781-14800 (2020)
2010 – 2019
- 2019
- [c1]Mohammad Shojafar, Rahim Taheri, Zahra Pooranian, Reza Javidan, Ali Miri, Yaser Jararweh:
Automatic Clustering of Attacks in Intrusion Detection Systems. AICCSA 2019: 1-8 - [i3]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 abs/1904.09433 (2019) - [i2]Rahim Taheri, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Ali Miri, Mauro Conti:
On Defending Against Label Flipping Attacks on Malware Detection Systems. CoRR abs/1908.04473 (2019) - [i1]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 abs/1908.05759 (2019)
Coauthor Index
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last updated on 2024-10-23 20:36 CEST by the dblp team
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