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Conference Paper Malware Detection using Malware Image and Deep Learning
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Authors
Sunoh Choi, Sungwook Jang, Youngsoo Kim, Jonghyun Kim
Issue Date
2017-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1194-1196
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190895
Project Code
17HH1900, Cloud based Security Intelligence Technology Development for the Customized Security Service Provisioning, Kim Jonghyun
Abstract
These days a lot of malware are generated. In order to deal with the new malware, we need new ways to detect malware. In this paper, we introduce a method to detect malware using deep learning. First, we generate images from benign files and malware. Second, by using deep learning, we train a model to detect malware. Then, by the trained model, we detect malware. By using malware images and deep learning, we can detect malware fast since we do not need any static analysis or dynamic analysis.
KSP Keywords
Dynamic analysis, Malware Image, Malware detection, deep learning(DL), detect malware, static analysis