Improved dataset for memory analysis-based malware detection in Windows. More description of the new improved dataset can be found in our paper "MeMalDet: A Memory analysis-based Malware Detection Framework using deep autoencoders and stacked ensemble under temporal evaluations" published in Computers & and Security Journal (https://www.sciencedirect.com/science/article/pii/S0167404824001652)
If you use the MemMal-D2024 dataset in your work, please cite it as follows:
@article{MANIRIHO2024103864,
title = {MeMalDet: A Memory analysis-based Malware Detection Framework using deep autoencoders and stacked ensemble under temporal evaluations},
journal = {Computers & Security},
pages = {103864},
year = {2024},
doi = {https://doi.org/10.1016/j.cose.2024.103864},
author = {Pascal Maniriho and Abdun Naser Mahmood and Mohammad Jabed Morshed Chowdhury} }