| Presentation | 2020-03-02 Proposal of Anomaly Based Attack Detection System for IoT Devices Using Deep Metric Learning Tatsuya Takimoto, Hiroyuki Inaba, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, with the development of the Internet, many IoT devices are used in all aspects of life. On the other hand, various cyber attacks targeting IoT devices have been reported. Attack detection systems are often used as countermeasures against this. Attack detection systems can be generally divided into two types: signature type and anomaly type. While the former cannot detect unknown attacks, the latter can detect such attacks. On the other hand, there exists a problem that it is difficult for anomaly type to define a normal state. However, in the case of IoT devices, the communication log is often composed of limited types of packets unlike general PC. Therefore, we generate a model of normal state of IoT communication using deep metric learning, and we propose an anomaly type attack detection system using it. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | IoT / anomaly detection / deep metric learning |
| Paper # | SITE2019-90,IA2019-68 |
| Date of Issue | 2020-02-24 (SITE, IA) |
| Conference Information | |
| Committee | IA / SITE / IPSJ-IOT |
|---|---|
| Conference Date | 2020/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagoya University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Internet and Information Ethics Education, etc. |
| Chair | Hiroyuki Osaki(Kwansei Gakuin Univ.) / Tetsuya Morizumi(Kanagawa Univ.) |
| Vice Chair | Rei Atarashi(IIJ) / Toru Kondo(Hiroshima Univ.) / Hiroshi Yamamoto(Ritsumeikan Univ.) / Masaru Ogawa(Kobe Gakuin Univ.) / Takushi Otani(Kibi International Univ.) |
| Secretary | Rei Atarashi(Kwansei Gakuin Univ.) / Toru Kondo(KDDI Research) / Hiroshi Yamamoto(NEC) / Masaru Ogawa(Toyo Eiwa Univ.) / Takushi Otani(KDDI Research) |
| Assistant | Kenji Ohira(Osaka Univ.) / Daiki Nobayashi(Kyushu Inst. of Tech.) / Ryohei Banno(Tokyo Inst. of Tech.) / Nobuyuki Yoshinaga(Yamaguchi Pref Univ.) / Daisuke Suzuki(Hokuriku Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Internet Architecture / Technical Committee on Social Implications of Technology and Information Ethics / Special Interest Group on Internet and Operation Technology |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal of Anomaly Based Attack Detection System for IoT Devices Using Deep Metric Learning |
| Sub Title (in English) | |
| Keyword(1) | IoT |
| Keyword(2) | anomaly detection |
| Keyword(3) | deep metric learning |
| 1st Author's Name | Tatsuya Takimoto |
| 1st Author's Affiliation | Kyoto Institute of Technology(KIT) |
| 2nd Author's Name | Hiroyuki Inaba |
| 2nd Author's Affiliation | Kyoto Institute of Technology(KIT) |
| Date | 2020-03-02 |
| Paper # | SITE2019-90,IA2019-68 |
| Volume (vol) | vol.119 |
| Number (no) | SITE-434,IA-435 |
| Page | pp.pp.13-18(SITE), pp.13-18(IA), |
| #Pages | 6 |
| Date of Issue | 2020-02-24 (SITE, IA) |