| Presentation | 2017-10-27 A Study of Infection Attack Detection Mechanism on a Carrier Network Considering Lightweight Feature Extraction Yukihiro Togari, Hiroaki Maeda, Hisashi Kojima, Yoshiko Sueda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | As many hosts which is not equipped with any security functions with respect to production cost connect to Internet and are seriously targeted by cyber attacks, communication carriers are expected to protect these attacks. Howerver, infection attacks, such as scan attacks or telnet attacks, cannot be captured by flow sampling because of their small amount. In this paper, we proposed a lightweight information extraction and detection mechanism on a carrier network, which focuses on the variation of traffic when information attacks occur, and we evaluated the performance of our proposed mechanism thorough simulation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Network Security / Anomaly Detection / Machine Learning |
| Paper # | NS2017-109 |
| Date of Issue | 2017-10-19 (NS) |
| Conference Information | |
| Committee | NS |
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| Conference Date | 2017/10/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | I-site nanba |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network Architecture (Overlay, P2P, Ubiquitous NW, Scale-free NW, Active NW, NGN/NwGN), Next Generation Packet Transport (High-speed Ethernet, IP over WDM, Multi-Service Packet Technologies, MPLS), Grid, etc. |
| Chair | Hideki Tode(Osaka Pref. Univ.) |
| Vice Chair | Yoshikatsu Okazaki(NTT) |
| Secretary | Yoshikatsu Okazaki(Kyushu Inst. of Tech.) |
| Assistant | Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Infection Attack Detection Mechanism on a Carrier Network Considering Lightweight Feature Extraction |
| Sub Title (in English) | |
| Keyword(1) | Network Security |
| Keyword(2) | Anomaly Detection |
| Keyword(3) | Machine Learning |
| 1st Author's Name | Yukihiro Togari |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 2nd Author's Name | Hiroaki Maeda |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 3rd Author's Name | Hisashi Kojima |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 4th Author's Name | Yoshiko Sueda |
| 4th Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| Date | 2017-10-27 |
| Paper # | NS2017-109 |
| Volume (vol) | vol.117 |
| Number (no) | NS-262 |
| Page | pp.pp.89-94(NS), |
| #Pages | 6 |
| Date of Issue | 2017-10-19 (NS) |