| Presentation | 2020-12-15 Development of an Intrusion Detection System Utilizing Social Network Analysis Principles James Lu, Yuji Sekiya, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | As computer networks grow increasingly complex and cyberattacks become more sophisticated, better methods are needed to provide effective security. Intrusion detection systems (IDS) are a fundamental part of network security. One type of system is anomaly-based systems, which model normal network behavior to detect both known and unknown attacks. However, many approaches to anomaly-based systems utilize machine learning, which are costly to develop and operate. In this research, we propose a lightweight anomaly-based intrusion detection method based on social network analysis principals. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | cybersecurity / social network analysis / intrusion detection / anomaly |
| Paper # | IA2020-29 |
| Date of Issue | 2020-12-07 (IA) |
| Conference Information | |
| Committee | IA / IN |
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| Conference Date | 2020/12/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
| Chair | Hiroyuki Osaki(Kwansei Gakuin Univ.) / Kenji Ishida(Hiroshima City Univ.) |
| Vice Chair | Rei Atarashi(IIJ) / Toru Kondo(Hiroshima Univ.) / Hiroshi Yamamoto(Ritsumeikan Univ.) / Kunio Hato(Internet Multifeed) |
| Secretary | Rei Atarashi(Kwansei Gakuin Univ.) / Toru Kondo(KDDI Research) / Hiroshi Yamamoto(NEC) / Kunio Hato(Hiroshima City Univ.) |
| Assistant | Kenji Ohira(Osaka Univ.) / Daiki Nobayashi(Kyushu Inst. of Tech.) / Ryohei Banno(Kogakuin Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Internet Architecture / Technical Committee on Information Networks |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of an Intrusion Detection System Utilizing Social Network Analysis Principles |
| Sub Title (in English) | |
| Keyword(1) | cybersecurity |
| Keyword(2) | social network analysis |
| Keyword(3) | intrusion detection |
| Keyword(4) | anomaly |
| 1st Author's Name | James Lu |
| 1st Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 2nd Author's Name | Yuji Sekiya |
| 2nd Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| Date | 2020-12-15 |
| Paper # | IA2020-29 |
| Volume (vol) | vol.120 |
| Number (no) | IA-294 |
| Page | pp.pp.18-21(IA), |
| #Pages | 4 |
| Date of Issue | 2020-12-07 (IA) |