| Presentation | 2023-12-14 Evaluation of HttpRequest anomaly detection model using fastText and convolutional autoencoder Haruta Yamada, Ryoichi Kawahara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the advent of the Internet and its close connection to people's lives, web applications are becoming increasingly important. Web Application Firewall（WAF）detects attacks that exploit application vulnerabilities in communications to server applications, and blocks them to secure web application security. On the other hand, in order to introduce WAF, it is necessary for engineers with deep knowledge of the technology used and the services provided to continue to tune it, which is a high hurdle for introduction. In this paper, we focus on a autoencoder-based unsupervised learning model that uses only normal requests, taking into account the cost of introduction and operation, and evaluate its performance. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | WAF / Neural network / Anomaly detection / Autoencoder / fastText |
| Paper # | NS2023-133 |
| Date of Issue | 2023-12-07 (NS) |
| Conference Information | |
| Committee | NS / RCS |
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| Conference Date | 2023/12/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology Tobata campus, and Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. |
| Chair | Tetsuya Oishi(NTT) / Kenichi Higuchi(Tokyo Univ. of Science) |
| Vice Chair | Takumi Miyoshi(Shibaura Inst. of Tech.) / Fumihide Kojima(NICT) / Osamu Muta(Kyushu Univ.) / Naoto Ishii(NEC) |
| Secretary | Takumi Miyoshi(NTT) / Fumihide Kojima(Kogakuin Univ.) / Osamu Muta(Univ. of Electro-Comm) / Naoto Ishii(Sharp) |
| Assistant | Hiroshi Yamamoto(NTT) / Masashi Iwabuchi(NTT) / Issei Kanno(KDDI Research) / Yuyuan Chang(Tokyo Inst. of Tech) / Kazuki Maruta(Tokyo Univ. of Science) / Kiichi Tateishi(NTT Docomo) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems / Technical Committee on Radio Communication Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of HttpRequest anomaly detection model using fastText and convolutional autoencoder |
| Sub Title (in English) | |
| Keyword(1) | WAF |
| Keyword(2) | Neural network |
| Keyword(3) | Anomaly detection |
| Keyword(4) | Autoencoder |
| Keyword(5) | fastText |
| 1st Author's Name | Haruta Yamada |
| 1st Author's Affiliation | Toyo University(Toyo Univ.) |
| 2nd Author's Name | Ryoichi Kawahara |
| 2nd Author's Affiliation | Toyo University(Toyo Univ.) |
| Date | 2023-12-14 |
| Paper # | NS2023-133 |
| Volume (vol) | vol.123 |
| Number (no) | NS-307 |
| Page | pp.pp.42-47(NS), |
| #Pages | 6 |
| Date of Issue | 2023-12-07 (NS) |