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Rogue Base Stations Detection for Advanced Metering Infrastructure Based on Signal Strength Clustering

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成果类型:
期刊论文
作者:
Bin, Qian;Ziwen, Cai;Yong, Xiao*;Liang, Hong;Sheng, Su
通讯作者:
Yong, Xiao
作者机构:
[Ziwen, Cai; Yong, Xiao; Bin, Qian] China Southern Power Grid, Elect Power Res Inst, Guangzhou 510080, Peoples R China.
[Liang, Hong; Sheng, Su] Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410004, Peoples R China.
通讯机构:
[Yong, Xiao] C
China Southern Power Grid, Elect Power Res Inst, Guangzhou 510080, Peoples R China.
语种:
英文
关键词:
Meters;Ground penetrating radar;Authentication;Long Term Evolution;Smart meters;Virtual private networks;3G mobile communication;Rogue base station;cyber-attack;clustering analysis;advanced metering infrastructure
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2020
卷:
8
页码:
158798-158805
基金类别:
This work was supported in part by the Electric Power Research Institute of China Southern Power Grid under Grant ZNKJXM20170085, in part by the National Natural Scientific Foundation of China under Grant 51777015 and Grant U196620027, and in part by the National Key Research and Development Program of China under Grant 2018YFB0904903.
机构署名:
本校为其他机构
院系归属:
电气与信息工程学院
摘要:
The smart meters and meter collectors in Advanced Metering Infrastructure (AMI), which are installed in every home, rely on wireless Virtual Private Network (VPN) for communicating with Head End System (HES). Therefore, they are prone to suffer from malicious cyber-attack. Usually, based on General Packet Radio Service (GPRS) communicated method is the most popular for meter collectors and consequently they are vulnerable to rogue Base Stations (BS) and get compromised by malicious adversaries further. Thus a Density-based spatial clustering of applications with noise (DBSCAN) method is employ...

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