| 講演名 | 2021-01-22 An Aggregation Approach for Improving Network Scan Failure and Delay Estimation of IoT Wireless Equipment Babatunde Ojetunde(ATR), Kenta Suzuki(ATR), Kazuto Yano(ATR), Yoshinori Suzuki(ATR), |
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| 抄録(和) | Recently we proposed a method for identifying the network scan response state that is needed to estimate the cause of network scan failure/delay which is necessary in detecting vulnerable IoT wireless device. However, there are cases in which the cause of scan failure/delay algorithm fails to correctly judge the cause of failure/delay of newly acquire scan response data as a result of wrong identification. Therefore an approach that can improve the identification of network scan response data and the cause of scan failure/delay estimation in all situations is required. This paper proposes an aggregation method which is needed to improve the network state identification and the estimation of the cause of scan failure/delay of the IoT wireless device. Specifically, we identify and correctly estimate the scan response data, preliminary obtained in various network states (i.e., Normal, Low-SNR, and Congestion) and the newly acquired scan response data. Thereafter, an aggregation by concatenation is performed on the scan response data that is identified to belong to the same network state and the aggregated sample is utilized as part of the sample used in the subsequent identification and estimation of other scan response samples. The evaluation results show that the proposed aggregation method improves the correct identification of the scan response network state and achieved a 99% correct estimation results of the cause of scan failure/delay when compared to our previous method without the aggregation method. |
| 抄録(英) | Recently we proposed a method for identifying the network scan response state that is needed to estimate the cause of network scan failure/delay which is necessary in detecting vulnerable IoT wireless device. However, there are cases in which the cause of scan failure/delay algorithm fails to correctly judge the cause of failure/delay of newly acquire scan response data as a result of wrong identification. Therefore an approach that can improve the identification of network scan response data and the cause of scan failure/delay estimation in all situations is required. This paper proposes an aggregation method which is needed to improve the network state identification and the estimation of the cause of scan failure/delay of the IoT wireless device. Specifically, we identify and correctly estimate the scan response data, preliminary obtained in various network states (i.e., Normal, Low-SNR, and Congestion) and the newly acquired scan response data. Thereafter, an aggregation by concatenation is performed on the scan response data that is identified to belong to the same network state and the aggregated sample is utilized as part of the sample used in the subsequent identification and estimation of other scan response samples. The evaluation results show that the proposed aggregation method improves the correct identification of the scan response network state and achieved a 99% correct estimation results of the cause of scan failure/delay when compared to our previous method without the aggregation method. |
| キーワード(和) | Network scan / IoT / cyber-attacks / machine learning / similarity / aggregation |
| キーワード(英) | Network scan / IoT / cyber-attacks / machine learning / similarity / aggregation |
| 資料番号 | NS2020-118 |
| 発行日 | 2021-01-14 (NS) |
| 研究会情報 | |
| 研究会 | NS |
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| 開催期間 | 2021/1/21(から2日開催) |
| 開催地（和） | オンライン開催 |
| 開催地（英） | Online |
| テーマ（和） | NWソフトウエア(ソフトウエアアーキテクチャ，ミドルウエア)，NWアプリケーション，SOA/SDP，NGN/IMS/API，分散制御・ダイナミックルーチング，グリッド，NFV，IoT，NW及びシステム信頼性，NW及びシステム評価，一般 |
| テーマ（英） | Network software (Software architecture, Middleware), Network application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, NFV, IoT, Network/System reliability, Network/System evaluation, etc. |
| 委員長氏名（和） | 中尾 彰宏(東大) |
| 委員長氏名（英） | Akihiro Nakao(Univ. of Tokyo) |
| 副委員長氏名（和） | 大石 哲矢(NTT) |
| 副委員長氏名（英） | Tetsuya Oishi(NTT) |
| 幹事氏名（和） | 水野 志郎(NTT) / 吉田 雅裕(中大) |
| 幹事氏名（英） | Shiro Mizuno(NTT) / Masahiro Yoshida(Chuo Univ.) |
| 幹事補佐氏名（和） | 河野 伸也(NTT) |
| 幹事補佐氏名（英） | Shinya Kawano(NTT) |
| 講演論文情報詳細 | |
| 申込み研究会 | Technical Committee on Network Systems |
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| 本文の言語 | ENG |
| タイトル（和） | |
| サブタイトル（和） | |
| タイトル（英） | An Aggregation Approach for Improving Network Scan Failure and Delay Estimation of IoT Wireless Equipment |
| サブタイトル（和） | |
| キーワード(1)（和/英） | Network scan / Network scan |
| キーワード(2)（和/英） | IoT / IoT |
| キーワード(3)（和/英） | cyber-attacks / cyber-attacks |
| キーワード(4)（和/英） | machine learning / machine learning |
| キーワード(5)（和/英） | similarity / similarity |
| キーワード(6)（和/英） | aggregation / aggregation |
| 第 1 著者 氏名（和/英） | Babatunde Ojetunde / Babatunde Ojetunde |
| 第 1 著者 所属（和/英） | Advanced Telecommunications Research Institute International(略称：ATR) Advanced Telecommunications Research Institute International(略称：ATR) |
| 第 2 著者 氏名（和/英） | Kenta Suzuki / Kenta Suzuki |
| 第 2 著者 所属（和/英） | Advanced Telecommunications Research Institute International(略称：ATR) Advanced Telecommunications Research Institute International(略称：ATR) |
| 第 3 著者 氏名（和/英） | Kazuto Yano / Kazuto Yano |
| 第 3 著者 所属（和/英） | Advanced Telecommunications Research Institute International(略称：ATR) Advanced Telecommunications Research Institute International(略称：ATR) |
| 第 4 著者 氏名（和/英） | Yoshinori Suzuki / Yoshinori Suzuki |
| 第 4 著者 所属（和/英） | Advanced Telecommunications Research Institute International(略称：ATR) Advanced Telecommunications Research Institute International(略称：ATR) |
| 発表年月日 | 2021-01-22 |
| 資料番号 | NS2020-118 |
| 巻番号（vol） | vol.120 |
| 号番号（no） | NS-327 |
| ページ範囲 | pp.43-52(NS), |
| ページ数 | 10 |
| 発行日 | 2021-01-14 (NS) |