| Presentation | 2018-03-08 A Malware Detection Method by Machine Learning Focused on Malignant Activity Tadashi Shimomura, Nobuki Suetsugu, Hidenori Tsuji, Masaki Hashimoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, many researches on detection and classification of malware have been done. Among them, researches on techniques for detecting unknown malware using machine learning have been actively conducted, not in particular recently, as a method relied on traditional signatures. Many of these researches are common in that they are aimed at extracting and learning features from malware in general and aiming at improving detection accuracy. However, malware operates in a wide variety of ways. Thereby extracting common features from malware in general, features may be unclear. Therefore, in this research, we extract features from each category of malware rather than extracting features from malware in general, and machine learning based on these features, thereby detecting malware with higher accuracy than before consider the method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Malware analysis / Dynamic analysis / Machine learning / API call |
| Paper # | ICSS2017-71 |
| Date of Issue | 2018-02-28 (ICSS) |
| Conference Information | |
| Committee | ICSS / IPSJ-SPT |
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| Conference Date | 2018/3/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Hokubu Koyou Nouryoku Kaihatsu Sougou Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Security, Trust, etc. |
| Chair | Yoshiaki Shiraishi(Kobe Univ.) |
| Vice Chair | Takeshi Ueda(Mitsubishi Electric) / Hiroki Takakura(NII) |
| Secretary | Takeshi Ueda(Yokohama National Univ.) / Hiroki Takakura(NTT) |
| Assistant | Takahiro Kasama(NICT) / Akira Yamada(KDDI labs.) |
| 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) | A Malware Detection Method by Machine Learning Focused on Malignant Activity |
| Sub Title (in English) | |
| Keyword(1) | Malware analysis |
| Keyword(2) | Dynamic analysis |
| Keyword(3) | Machine learning |
| Keyword(4) | API call |
| 1st Author's Name | Tadashi Shimomura |
| 1st Author's Affiliation | Institute of Infomation security(IISEC) |
| 2nd Author's Name | Nobuki Suetsugu |
| 2nd Author's Affiliation | Institute of Infomation security(IISEC) |
| 3rd Author's Name | Hidenori Tsuji |
| 3rd Author's Affiliation | Institute of Infomation security(IISEC) |
| 4th Author's Name | Masaki Hashimoto |
| 4th Author's Affiliation | Institute of Infomation security(IISEC) |
| Date | 2018-03-08 |
| Paper # | ICSS2017-71 |
| Volume (vol) | vol.117 |
| Number (no) | ICSS-481 |
| Page | pp.pp.121-126(ICSS), |
| #Pages | 6 |
| Date of Issue | 2018-02-28 (ICSS) |