3 citations · 5 across the 9 of their papers we have counts for
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cs.CR2022★ 2 cited
UNBUS: Uncertainty-aware Deep Botnet Detection System in Presence of Perturbed Samples
Rahim Taheri
A rising number of botnet families have been successfully detected using deep learning architectures. While the variety of attacks increases, these architectures should become more…
cs.CR2022
SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment
Marjan Golmaryami, Rahim Taheri, Zahra Pooranian +2
In recent years, malware detection has become an active research topic in the area of Internet of Things (IoT) security. The principle is to exploit knowledge from large quantities…
cs.CR2022★ 3 cited
Deep Image: A precious image based deep learning method for online malware detection in IoT Environment
Meysam Ghahramani, Rahim Taheri, Mohammad Shojafar +2
The volume of malware and the number of attacks in IoT devices are rising everyday, which encourages security professionals to continually enhance their malware analysis tools. Res…