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Rahim Taheri
Rahim Taheri
Lecturer in Cyber Security, University of Portsmouth
Verified email at port.ac.uk - Homepage
Title
Cited by
Cited by
Year
Similarity-based Android malware detection using Hamming distance of static binary features
R Taheri, M Ghahramani, R Javidan, M Shojafar, Z Pooranian, M Conti
Future Generation Computer Systems 105, 230-247, 2020
1022020
FED-IIoT: A robust federated malware detection architecture in industrial IoT
R Taheri, M Shojafar, M Alazab, R Tafazolli
IEEE Transactions on Industrial Informatics 17 (12), 8442-8452, 2020
512020
On defending against label flipping attacks on malware detection systems
R Taheri, R Javidan, M Shojafar, Z Pooranian, A Miri, M Conti
Neural Computing and Applications 32 (18), 14781-14800, 2020
402020
RSS: An energy-efficient approach for securing IoT service protocols against the DoS attack
M Ghahramani, R Javidan, M Shojafar, R Taheri, M Alazab, R Tafazolli
IEEE Internet of Things Journal 8 (5), 3619-3635, 2020
192020
Can machine learning model with static features be fooled: an adversarial machine learning approach
R Taheri, R Javidan, M Shojafar, P Vinod, M Conti
Cluster computing 23 (4), 3233-3253, 2020
172020
LEVER: Secure Deduplicated Cloud Storage With Encrypted Two-Party Interactions in Cyber--Physical Systems
Z Pooranian, M Shojafar, S Garg, R Taheri, R Tafazolli
IEEE transactions on industrial informatics 17 (8), 5759-5768, 2020
132020
Adversarial android malware detection for mobile multimedia applications in IoT environments
R Taheri, R Javidan, Z Pooranian
Multimedia Tools and Applications 80 (11), 16713-16729, 2021
122021
Automatic Clustering of Attacks in Intrusion Detection Systems
M Shojafar, R Taheri, Z Pooranian, R Javidan, A Miri, Y Jararweh
2019 IEEE/ACS 16th International Conference on Computer Systems and …, 2019
102019
Perusing the effect of discretization of data on accuracy of predicting naive bayes algorithm
MR Parsaei, R Taheri, R Javidan
Journal of Current Research in Science, 457, 2016
72016
Spam filtering in SMS using recurrent neural networks
R Taheri, R Javidan
2017 Artificial Intelligence and Signal Processing Conference (AISP), 331-336, 2017
62017
A new approach for feature selection in intrusion detection system
R TAHERI, M AHMADZADEH, MR KHARAZMI
Fen Bilimleri Dergisi (CFD) 36 (6), 2015
42015
A New Method for Optimizing Energy Consumption in Wireless Sensor Networks Using Enhanced LEACH Protocol
R Taheri, MR Parsaei, R Javidan
Journal of Engineering and Applied Sciences 100 (3), 576-581, 2016
32016
Arhive of SID
R Taheri, MR Parsaei, R Javidan
22017
Elearning Framework Based On Cloud Computing
R Taheri, MR PARSAEI
Journal of Selcuk University Natural and Applied Science, 272-278, 2015
22015
Deep learning based communication: an adversarial approach
Y Emami, R Taheri
3rd Doctoral Congress in Engineering, 2019
12019
Can Open and AI-enabled 6G RAN Be Secured?
S Soltani, M Shojafar, R Taheri, R Tafazolli
IEEE Consumer Electronics Magazine, 2022
2022
UNBUS: Uncertainty-aware Deep Botnet Detection System in Presence of Perturbed Samples
R Taheri
arXiv preprint arXiv:2204.09502, 2022
2022
SETTI: A Self-Supervised AdvErsarial Malware DeTection ArchiTecture in an IoT Environment
M Golmaryami, R Taheri, Z Pooranian, M Shojafar, P Xiao
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022
2022
SIEMS: A Secure Intelligent Energy Management System for Industrial IoT Applications
P Asef, R Taheri, M Shojafar, I Mporas, R Tafazolli
IEEE Transactions on Industrial Informatics, 2022
2022
Deep Image: A precious image based deep learning method for online malware detection in IoT Environment
M Ghahramani, R Taheri, M Shojafar, R Javidan, S Wan
arXiv preprint arXiv:2204.01690, 2022
2022
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