| Presentation | 2017-12-14 Anomaly Detection for Smart Home IoT based on Users' Behavior Masaaki Yamauchi, Yuichi Ohsita, Masayuki Murata, Kensuke Ueda, Yoshiaki Kato, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Many devices such as air conditioners and refrigerator have become connected to the Internet, and become a target of the cyber-attacks. Especially, the operations by the attackers are serious problems, which may kill the users. However, such attacks are difficult to detect, because the operations by the attackers uses the same protocol as the operations by the users. In this paper, we propose a method to detect such attacks. Our method learns the behavior of the users at each condition defined by the time-of-day and information monitored by sensors such as temperature. Then, our method detects attacks by comparing the current behavior with the learned behavior for the condition corresponding to the current condition. We evaluate our method by using the data including the behavior of 4 users of the IoT devices. The results demonstrate 99.6% of attacks can be detected with 6.25% of false detections. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Smart Home / IoT / Security / Anomaly Detection / Spoofing Operation Detection / Behavior Pattern |
| Paper # | IN2017-58 |
| Date of Issue | 2017-12-07 (IN) |
| Conference Information | |
| Committee | IA / IN |
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| Conference Date | 2017/12/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima City Univ. |
| 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 | Katsuyoshi Iida(Hokkaido Univ.) / Katsunori Yamaoka(Tokyo Inst. of Tech.) |
| Vice Chair | Rei Atarashi(IIJ) / Hiroyuki Osaki(Kwansei Gakuin Univ.) / Tomoki Yoshihisa(Osaka Univ.) / Takuji Kishida(NTT) |
| Secretary | Rei Atarashi(Tokyo Metropolitan Univ.) / Hiroyuki Osaki(TOYOTA-IT) / Tomoki Yoshihisa(NTT) / Takuji Kishida(NTT) |
| Assistant | Kenji Ohira(Tokushima Univ.) / Ryohei Banno(NTT) / Toshiki Watanabe(NEC) |
| Paper Information | |
| Registration To | Technical Committee on Internet Architecture / Technical Committee on Information Networks |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Anomaly Detection for Smart Home IoT based on Users' Behavior |
| Sub Title (in English) | |
| Keyword(1) | Smart Home |
| Keyword(2) | IoT |
| Keyword(3) | Security |
| Keyword(4) | Anomaly Detection |
| Keyword(5) | Spoofing Operation Detection |
| Keyword(6) | Behavior Pattern |
| 1st Author's Name | Masaaki Yamauchi |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Yuichi Ohsita |
| 2nd Author's Affiliation | Osaka University(Osaka Univ.) |
| 3rd Author's Name | Masayuki Murata |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| 4th Author's Name | Kensuke Ueda |
| 4th Author's Affiliation | Mitsubishi Electric Corporation(Mitsubishi Electric) |
| 5th Author's Name | Yoshiaki Kato |
| 5th Author's Affiliation | Mitsubishi Electric Corporation(Mitsubishi Electric) |
| Date | 2017-12-14 |
| Paper # | IN2017-58 |
| Volume (vol) | vol.117 |
| Number (no) | IN-353 |
| Page | pp.pp.73-78(IN), |
| #Pages | 6 |
| Date of Issue | 2017-12-07 (IN) |