91 citations · 232 across the 5 of their papers we have counts for
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cs.CR2024★ 91 cited
A Survey of Malware Detection Using Deep Learning
Ahmed Bensaoud, Jugal Kalita, Mahmoud Bensaoud
The problem of malicious software (malware) detection and classification is a complex task, and there is no perfect approach. There is still a lot of work to be done. Unlike most o…
cs.CR2024★ 49 cited
Deep Multi-Task Learning for Malware Image Classification
Ahmed Bensaoud, Jugal Kalita
Malicious software is a pernicious global problem. A novel multi-task learning framework is proposed in this paper for malware image classification for accurate and fast malware de…
cs.CR2024★ 63 cited
CNN-LSTM and Transfer Learning Models for Malware Classification based on Opcodes and API Calls
Ahmed Bensaoud, Jugal Kalita
In this paper, we propose a novel model for a malware classification system based on Application Programming Interface (API) calls and opcodes, to improve classification accuracy.…