On deceiving malware classification with section injection
@article{Silva2022OnDM,
title={On deceiving malware classification with section injection},
author={Adeilson Antonio da Silva and Maur{\'i}cio Pamplona Segundo},
journal={ArXiv},
year={2022},
volume={abs/2208.06092},
url={https://api.semanticscholar.org/CorpusID:256170759}
}The results show that a combination of reordering malware sections and injecting random data can improve the overall performance of the classification, and show that an automatic malware classification system may not be as trustworthy as initially reported in the literature.
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Malware (opens in a new tab)Defensive Methods (opens in a new tab)Executable File (opens in a new tab)Network Robustness (opens in a new tab)Malware Samples (opens in a new tab)State Of The Art (opens in a new tab)Classification Accuracy (opens in a new tab)Accuracy Drop (opens in a new tab)Classification (opens in a new tab)
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