Presentation | 2021-01-22 An Aggregation Approach for Improving Network Scan Failure and Delay Estimation of IoT Wireless Equipment Babatunde Ojetunde, Kenta Suzuki, Kazuto Yano, Yoshinori Suzuki, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | 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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Network scan / IoT / cyber-attacks / machine learning / similarity / aggregation |
Paper # | NS2020-118 |
Date of Issue | 2021-01-14 (NS) |
Conference Information | |
Committee | NS |
---|---|
Conference Date | 2021/1/21(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | 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. |
Chair | Akihiro Nakao(Univ. of Tokyo) |
Vice Chair | Tetsuya Oishi(NTT) |
Secretary | Tetsuya Oishi(NTT) |
Assistant | Shinya Kawano(NTT) |
Paper Information | |
Registration To | Technical Committee on Network Systems |
---|---|
Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Aggregation Approach for Improving Network Scan Failure and Delay Estimation of IoT Wireless Equipment |
Sub Title (in English) | |
Keyword(1) | Network scan |
Keyword(2) | IoT |
Keyword(3) | cyber-attacks |
Keyword(4) | machine learning |
Keyword(5) | similarity |
Keyword(6) | aggregation |
1st Author's Name | Babatunde Ojetunde |
1st Author's Affiliation | Advanced Telecommunications Research Institute International(ATR) |
2nd Author's Name | Kenta Suzuki |
2nd Author's Affiliation | Advanced Telecommunications Research Institute International(ATR) |
3rd Author's Name | Kazuto Yano |
3rd Author's Affiliation | Advanced Telecommunications Research Institute International(ATR) |
4th Author's Name | Yoshinori Suzuki |
4th Author's Affiliation | Advanced Telecommunications Research Institute International(ATR) |
Date | 2021-01-22 |
Paper # | NS2020-118 |
Volume (vol) | vol.120 |
Number (no) | NS-327 |
Page | pp.pp.43-52(NS), |
#Pages | 10 |
Date of Issue | 2021-01-14 (NS) |