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Subject

Image-based Artificial Intelligence Deep Learning to Protect the Big Data from Malware
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악성코드로부터 빅데이터를 보호하기 위한 이미지 기반의 인공지능 딥러닝 기법

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Type
Academic journal
Author
Hae Jung Kim (경일대학교) Eun Jun Yoon (경일대학교)
Journal
The Institute of Electronics and Information Engineers Journal of the Institute of Electronics and Information Engineers Vol.54 No.2 (Wn.471) KCI Excellent Accredited Journal
Published
2017.2
Pages
76 - 82 (7page)

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Image-based Artificial Intelligence Deep Learning to Protect the Big Data from Malware
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Abstract· Keywords

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Malware, including ransomware to quickly detect, in this study, to provide an analysis method of malicious code through the image analysis that has been learned in the deep learning of artificial intelligence. First, to analyze the 2,400 malware data, and learning in artificial neural network Convolutional neural network and to image data. Extracts subgraphs to convert the graph of abstracted image, summarizes the set represent malware. The experimentally analyzed the malware is not how similar. Using deep learning of artificial intelligence by classifying malware and It shows the possibility of accurate malware detection

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 관련 연구
Ⅲ. 제안하는 악성코드 분석 기법
Ⅳ. 실험 결과
Ⅳ. 결론 및 향후 연구 방향
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UCI(KEPA) : I410-ECN-0101-2017-569-002249302