| Presentation | 2022-05-19 BGP Hijacking Detection Using Deep Learning Kenta Nakashima, Mitiko Harayama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Failures of large autonomous systems (ASs) and network attacks can affect Border Gateway Protocol (BGP) messages, causing delays and instability in overall Internet communications. We note this as BGP hijacking and propose an anomaly detection method for BGP messages using deep learning. We report four incidents caused by Malaysia-Telekom, Level3, Google, and Facebook. We analyze BGP messages around the incidents to obtain nine features, such as AS path length statistics. These were trained on a multilayer perceptron (MLP) to determine the accuracy of incident detection. As a result, some of the features, such as new BGP announcements and withdrawals, change in conjunction with incidents. Detection accuracies for Malaysia-Telekom and Level 3 incidents were high. In this report, we show how to analyze the features of BGP messages, how they change, and the anomaly detection performance of our method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | BGP / BGP Hijacking / Anomaly detection / Deep learning |
| Paper # | ICM2022-2 |
| Date of Issue | 2022-05-12 (ICM) |
| Conference Information | |
| Committee | ICM / IPSJ-CSEC / IPSJ-IOT |
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| Conference Date | 2022/5/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kazuhiko Kinoshita(Tokushima Univ.) |
| Vice Chair | Haruo Ooishi(NTT) / Eiji Takahashi(NEC) |
| Secretary | Haruo Ooishi(Bosco) / Eiji Takahashi(Fujitsu) |
| Assistant | Yoshifumi Kato(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication Management / Special Interest Group on Computer Security / Special Interest Group on Internet and Operation Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | BGP Hijacking Detection Using Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | BGP |
| Keyword(2) | BGP Hijacking |
| Keyword(3) | Anomaly detection |
| Keyword(4) | Deep learning |
| 1st Author's Name | Kenta Nakashima |
| 1st Author's Affiliation | Gifu City University(Gifu City Univ) |
| 2nd Author's Name | Mitiko Harayama |
| 2nd Author's Affiliation | Gifu City University(Gifu City Univ) |
| Date | 2022-05-19 |
| Paper # | ICM2022-2 |
| Volume (vol) | vol.122 |
| Number (no) | ICM-32 |
| Page | pp.pp.6-11(ICM), |
| #Pages | 6 |
| Date of Issue | 2022-05-12 (ICM) |