| Presentation | 2018-06-26 A Study on Extraction Method of Characteristics of Malware Using Generative Adversalial Networks Keisuke Furumoto, Ryoichi Isawa, Takeshi Takahashi, Daisuke Inoue, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | To classify malware families including many subspecies, several methods have been proposed for acquiring malware feature quantities from static/dynamic analysis results and combining them with machine learning techniques. In addition, Generative Adverarial Networks (GAN) has made it possible to learn unsupervised learning by making two neural networks compete, and is attracting particular attention in the field of image processing. In this paper, we propose a method of imaging malware based on binary data and extracting features of malware using GAN. The concept of the proposed method in this paper is to solve the problem of CNN accompanying the labeling of malware dataset and extract the feature quantity of malware by GAN without using the conventional dynamic/static analysis result. In this paper, we compare the proposed method with the conventional malware analysis method and show that the proposed method is a different approach from the conventional malware analysis method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Malware / Deep Learning / Generative Adversarial Networks |
| Paper # | IA2018-13,ICSS2018-13 |
| Date of Issue | 2018-06-18 (IA, ICSS) |
| Conference Information | |
| Committee | ICSS / IA |
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| Conference Date | 2018/6/25(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ehime University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Internet Security, etc. |
| Chair | Yoshiaki Shiraishi(Kobe Univ.) / Katsuyoshi Iida(Hokkaido Univ.) |
| Vice Chair | Hiroki Takakura(NII) / Katsunari Yoshioka(Yokohama National Univ.) / Rei Atarashi(IIJ) / Hiroyuki Osaki(Kwansei Gakuin Univ.) / Toru Kondo(Hiroshima Univ.) |
| Secretary | Hiroki Takakura(NTT) / Katsunari Yoshioka(NICT) / Rei Atarashi(Tokyo Metropolitan Univ.) / Hiroyuki Osaki(TOYOTA-IT) / Toru Kondo(NEC) |
| Assistant | Akira Yamada(KDDI labs.) / Keisuke Kito(Mitsubishi Electric) / Kenji Ohira(Tokushima Univ.) / Ryohei Banno(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication System Security / Technical Committee on Internet Architecture |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Extraction Method of Characteristics of Malware Using Generative Adversalial Networks |
| Sub Title (in English) | |
| Keyword(1) | Malware |
| Keyword(2) | Deep Learning |
| Keyword(3) | Generative Adversarial Networks |
| 1st Author's Name | Keisuke Furumoto |
| 1st Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| 2nd Author's Name | Ryoichi Isawa |
| 2nd Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| 3rd Author's Name | Takeshi Takahashi |
| 3rd Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| 4th Author's Name | Daisuke Inoue |
| 4th Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| Date | 2018-06-26 |
| Paper # | IA2018-13,ICSS2018-13 |
| Volume (vol) | vol.118 |
| Number (no) | IA-108,ICSS-109 |
| Page | pp.pp.77-82(IA), pp.77-82(ICSS), |
| #Pages | 6 |
| Date of Issue | 2018-06-18 (IA, ICSS) |