Feb. 7, 2024, 5:10 a.m. | Tony Quertier Gr\'egoire Barru\'e

cs.CR updates on arXiv.org arxiv.org

Existing research on malware detection focuses almost exclusively on the detection rate. However, in some cases, it is also important to understand the results of our algorithm, or to obtain more information, such as where to investigate in the file for an analyst. In this aim, we propose a new model to analyze Portable Executable files. Our method consists in splitting the files in different sections, then transform each section into an image, in order to train convolutional neural networks …

aim algorithm analysis analyst cases cnns cs.ai cs.cr detection file important information malware malware detection rate research results understand

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