| Presentation | 2021-11-30 Comparison of CNN padding method using a part of malware API call sequence data with RNN. Shugo Asai, Yuichi Futa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, as society has become more information-oriented, malware for information has been increasing. In such a situation, methods to automatically classify and analyze malware types are used and researched by learning the characteristics of malware using learning methods such as machine learning and deep learning from data obtained through dynamic analysis. However, since deep learning requires a huge amount of samples, the accuracy may be low when the samples are small. In this report, we suppose the condition that we have few samples and no alternative to utilizing of API calls through dynamic analysis for malware classification. Under the condition, we compare the classification accuracy of CNNs and RNNs to verify their effectiveness. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Malware / APIcall / CNN / RNN / LSTM / Classification / padding |
| Paper # | ICSS2021-55 |
| Date of Issue | 2021-11-22 (ICSS) |
| Conference Information | |
| Committee | ICSS |
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| Conference Date | 2021/11/29(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | KOCHIJYO HALL |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Security, etc. |
| Chair | Katsunari Yoshioka(Yokohama National Univ.) |
| Vice Chair | Kazunori Kamiya(NTT) / Takahiro Kasama(NICT) |
| Secretary | Kazunori Kamiya(KDDI labs.) / Takahiro Kasama(Okayama Univ.) |
| Assistant | Keisuke Kito(Mitsubishi Electric) / Takeshi Sugawara(Univ. of Electro-Comm.) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication System Security |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparison of CNN padding method using a part of malware API call sequence data with RNN. |
| Sub Title (in English) | |
| Keyword(1) | Malware |
| Keyword(2) | APIcall |
| Keyword(3) | CNN |
| Keyword(4) | RNN |
| Keyword(5) | LSTM |
| Keyword(6) | Classification |
| Keyword(7) | padding |
| 1st Author's Name | Shugo Asai |
| 1st Author's Affiliation | Tokyo University of Technology(TUT) |
| 2nd Author's Name | Yuichi Futa |
| 2nd Author's Affiliation | Tokyo University of Technology(TUT) |
| Date | 2021-11-30 |
| Paper # | ICSS2021-55 |
| Volume (vol) | vol.121 |
| Number (no) | ICSS-275 |
| Page | pp.pp.55-60(ICSS), |
| #Pages | 6 |
| Date of Issue | 2021-11-22 (ICSS) |