Web Reference: Malware detection and classification is a critical aspect of cybersecurity, given the increasing sophistication and prevalence of malicious software. In this study, we propose a novel approach utilizing deep learning architectures for the task of malware classification detection. Aug 21, 2023 · With the increasing extent of malware attacks in the present day along with the difficulty in detecting modern malware, it is necessary to evaluate the effectiveness and performance of Deep Neural Networks (DNNs) for malware classification. Jun 1, 2024 · This paper aims to investigate recent advances in malware detection on MacOS, Windows, iOS, Android, and Linux using deep learning (DL) by investigating DL in text and image classification, the use of pre-trained and multi-task learning models for malware detection approaches to obtain high accuracy and which the best approach if we have a ...
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