ETRI Knowledge Sharing Platform : Malware Detection using Malware Image and Deep Learning

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Conference Paper Malware Detection using Malware Image and Deep Learning

Cited 28 time in scopus

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Citation: International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1194-1196

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

218 Gajeong-ro, Yuseong-gu, Daejeon, 34129, KOREA, Contact: sh.kim@etri.re.kr

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