3 citations · 5 across the 7 of their papers we have counts for
7 papers · 1 filter
A Risk-Stratified Benchmark Dataset for Bad Randomness (SWC-120) Vulnerabilities in Ethereum Smart Contracts
Hadis Rezaei, Rahim Taheri, Francesco Palmieri
Many Ethereum smart contracts rely on block attributes such as block.timestamp or blockhash to generate random numbers for applications like lotteries and games. However, these val…
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Ehsan Nowroozi, Imran Haider, Rahim Taheri +1
Federated Learning (FL) is a machine learning (ML) approach that enables multiple decentralized devices or edge servers to collaboratively train a shared model without exchanging r…
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…
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…
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…
Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features
Rahim Taheri, Meysam Ghahramani, Reza Javidan +3
In this paper, we develop four malware detection methods using Hamming distance to find similarity between samples which are first nearest neighbors (FNN), all nearest neighbors (A…