| Presentation | 2021-03-05 A Convolutional Autoencoder Based Method for Cyber Intrusion Detection Xinyi She, Yuji Sekiya, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Cyber intrusion detection systems are increasingly crucial due to the monumental growth of internet applications. However, the success of IDS is highly dependent on model design and algorithm. In this paper, we proposed an effective cyber intrusion detection method based on a convolutional autoencoder, which is an effective learning algorithm for reconstructing new feature representation in an unsupervised manner. The proposed method can learn features automatically and reduce training time considerably through dimensionality reduction. The comparative experimental results on the NSL-KDD dataset and CICIDS2017 dataset demonstrate the effectiveness of the proposed model for intrusion detection. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Network Security / Intrusion Detection / Convolutional Autoencoder |
| Paper # | IN2020-77 |
| Date of Issue | 2021-02-25 (IN) |
| Conference Information | |
| Committee | IN / NS |
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| Conference Date | 2021/3/4(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Kenji Ishida(Hiroshima City Univ.) / Akihiro Nakao(Univ. of Tokyo) |
| Vice Chair | Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT) |
| Secretary | Kunio Hato(Hiroshima City Univ.) / Tetsuya Oishi(KDDI Research) |
| Assistant | / Shinya Kawano(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / Technical Committee on Network Systems |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Convolutional Autoencoder Based Method for Cyber Intrusion Detection |
| Sub Title (in English) | |
| Keyword(1) | Network Security |
| Keyword(2) | Intrusion Detection |
| Keyword(3) | Convolutional Autoencoder |
| 1st Author's Name | Xinyi She |
| 1st Author's Affiliation | The University of Tokyo(Tokyo Univ.) |
| 2nd Author's Name | Yuji Sekiya |
| 2nd Author's Affiliation | The University of Tokyo(Tokyo Univ.) |
| Date | 2021-03-05 |
| Paper # | IN2020-77 |
| Volume (vol) | vol.120 |
| Number (no) | IN-414 |
| Page | pp.pp.138-143(IN), |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (IN) |