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Apr 9, 2023 · In this work, we use evolutionary-based transfer learning of language models in NLP to improve the classification of metamorphic malware. We use ...
Apr 12, 2023 · Our preliminary results demonstrate that using NLP models can improve the classification of metamorphic malware in some instances. References. [ ...
Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware ... Transfer learning for image-based malware classification.
Shunmuga Velayutham · View · Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware. Chapter. Apr 2023.
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Evolutionary based Transfer Learning Approach to Improving Classification of Metamorphic Malware. Presented at EvoApplications 2023 ...
In this paper, an Evolutionary based Generative Adversarial Network (GAN) inspired approach is proposed as a step towards defeating metamorphic malware.
In this paper, the effect of feature selection in malware detection using machine learning techniques is studied. We employ supervised and unsupervised machine ...
Evolutionary Based Transfer Learning Approach to Improving Classification of Metamorphic Malware. KO Babaagba, M Ayodele. International Conference on the ...
This also includes the use of a pretrained Natural Language Processing (NLP) model in a transfer learning setting to show improved classification of metamorphic ...
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In this paper, we propose a malware classification framework using transfer learning based on existing Deep Learning models that have been pre-trained on ...