MeMalDet: A memory analysis-based malware detection framework using deep autoencoders and stacked ensemble under temporal evaluations

Maniriho, Pascal; Mahmood, Abdun Naser; Chowdhury, Mohammad Jabed Morshed

doi:10.1016/j.cose.2024.103864

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MeMalDet: A memory analysis-based malware detection framework using deep autoencoders and stacked ensemble under temporal evaluations

Cited by 3 publications

References 66 publications

Hybrid Deep Learning Approach Based on LSTM and CNN for Malware Detection

Hybrid Deep Learning Approach Based on LSTM and CNN for Malware Detection

A recommendation attack detection approach integrating CNN with Bagging

Explainable Obfuscated Memory Malware Detector Using Sparse Projections with Isolated Family Distinction Paradigm

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