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About Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features
This document summarizes a research paper that proposes using a deep neural network and two-dimensional binary features to detect malware. The system achieves a 95% detection rate with only a 0.1% false positive rate when trained on over 400,000 software binaries. The deep neural network is trained directly on binary files without preprocessing like unpacking or filtering. This results in a highly accurate, low-resource malware detection model that approaches traditional signature-based detection methods.
Detailed Information
| Author: | ['Mohd Shahril'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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