| Presentation | 2021-03-02 Accuracy evaluation of CNNs and random forests with Malware API call sequences Shugo Asai, Futa Yuichi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we compare the accuracy of the results of classifying each malware family by Random Forest and CNN using the preprocessed data generated by extracting only three characteristic word groups from API calls. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Malware / API call / CNN / random forest / classification |
| Paper # | ICSS2020-58 |
| Date of Issue | 2021-02-22 (ICSS) |
| Conference Information | |
| Committee | ICSS / IPSJ-SPT |
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| Conference Date | 2021/3/1(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Security, Trust, etc. |
| Chair | Hiroki Takakura(NII) |
| Vice Chair | Katsunari Yoshioka(Yokohama National Univ.) / Kazunori Kamiya(NTT) |
| Secretary | Katsunari Yoshioka(NICT) / Kazunori Kamiya(KDDI labs.) |
| Assistant | Keisuke Kito(Mitsubishi Electric) / Toshihiro Yamauchi(Okayama Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication System Security / Special Interest Group on Security Psychology and Trust |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Accuracy evaluation of CNNs and random forests with Malware API call sequences |
| Sub Title (in English) | |
| Keyword(1) | Malware |
| Keyword(2) | API call |
| Keyword(3) | CNN |
| Keyword(4) | random forest |
| Keyword(5) | classification |
| 1st Author's Name | Shugo Asai |
| 1st Author's Affiliation | Tokyo University of Technology(TUT) |
| 2nd Author's Name | Futa Yuichi |
| 2nd Author's Affiliation | Tokyo University of Technology(TUT) |
| Date | 2021-03-02 |
| Paper # | ICSS2020-58 |
| Volume (vol) | vol.120 |
| Number (no) | ICSS-384 |
| Page | pp.pp.190-194(ICSS), |
| #Pages | 5 |
| Date of Issue | 2021-02-22 (ICSS) |