JamCatcher: A Mobile Jammer Localization Scheme for Advanced Metering Infrastructure in Smart Grid
As the core component of the smart grid, advanced metering infrastructure (AMI) is responsible for automated billing, demand response, load forecasting, management, etc. The jamming attack poses a serious threat to the AMI communication networks, especially the neighborhood area network where wirele...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/4/909 |
| _version_ | 1798040393185492992 |
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| author | Taimin Zhang Xiaoyu Ji Zhou Zhuang Wenyuan Xu |
| author_facet | Taimin Zhang Xiaoyu Ji Zhou Zhuang Wenyuan Xu |
| author_sort | Taimin Zhang |
| collection | DOAJ |
| description | As the core component of the smart grid, advanced metering infrastructure (AMI) is responsible for automated billing, demand response, load forecasting, management, etc. The jamming attack poses a serious threat to the AMI communication networks, especially the neighborhood area network where wireless technologies are widely adopted to connect a tremendous amount of smart meters. An attacker can easily build a jammer using a software-defined radio and jam the wireless communications between smart meters and local controllers, causing failures of on-line monitoring and state estimation. Accurate jammer localization is the first step for defending AMIs against jamming attacks. In this paper, we propose JamCatcher, a mobile jammer localization scheme for defending the AMI. Unlike existing jammer localization schemes, which only consider stationary jammers and usually require a high density of anchor nodes, the proposed scheme utilizes a tracker and can localize a mobile jammer with sparse anchor nodes. The time delay of data transmission is also considered, and the jammer localization process is divided into two stages, i.e., far-field chasing stage and near-field capturing stage. Different localization algorithms are developed for each stage. The proposed method has been tested with data from both simulation and real-world experiment. The results demonstrate that JamCatcher outperforms existing jammer localization algorithms with a limited number of anchor nodes in the AMI scenario. |
| first_indexed | 2024-04-11T22:07:01Z |
| format | Article |
| id | doaj.art-3a8961343ee943a888d95e79c8621c8b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:07:01Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3a8961343ee943a888d95e79c8621c8b2022-12-22T04:00:40ZengMDPI AGSensors1424-82202019-02-0119490910.3390/s19040909s19040909JamCatcher: A Mobile Jammer Localization Scheme for Advanced Metering Infrastructure in Smart GridTaimin Zhang0Xiaoyu Ji1Zhou Zhuang2Wenyuan Xu3School of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaSchool of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaSchool of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaSchool of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaAs the core component of the smart grid, advanced metering infrastructure (AMI) is responsible for automated billing, demand response, load forecasting, management, etc. The jamming attack poses a serious threat to the AMI communication networks, especially the neighborhood area network where wireless technologies are widely adopted to connect a tremendous amount of smart meters. An attacker can easily build a jammer using a software-defined radio and jam the wireless communications between smart meters and local controllers, causing failures of on-line monitoring and state estimation. Accurate jammer localization is the first step for defending AMIs against jamming attacks. In this paper, we propose JamCatcher, a mobile jammer localization scheme for defending the AMI. Unlike existing jammer localization schemes, which only consider stationary jammers and usually require a high density of anchor nodes, the proposed scheme utilizes a tracker and can localize a mobile jammer with sparse anchor nodes. The time delay of data transmission is also considered, and the jammer localization process is divided into two stages, i.e., far-field chasing stage and near-field capturing stage. Different localization algorithms are developed for each stage. The proposed method has been tested with data from both simulation and real-world experiment. The results demonstrate that JamCatcher outperforms existing jammer localization algorithms with a limited number of anchor nodes in the AMI scenario.https://www.mdpi.com/1424-8220/19/4/909smart gridadvanced metering infrastructure (AMI)smart metersjammingradio interferencelocalization |
| spellingShingle | Taimin Zhang Xiaoyu Ji Zhou Zhuang Wenyuan Xu JamCatcher: A Mobile Jammer Localization Scheme for Advanced Metering Infrastructure in Smart Grid Sensors smart grid advanced metering infrastructure (AMI) smart meters jamming radio interference localization |
| title | JamCatcher: A Mobile Jammer Localization Scheme for Advanced Metering Infrastructure in Smart Grid |
| title_full | JamCatcher: A Mobile Jammer Localization Scheme for Advanced Metering Infrastructure in Smart Grid |
| title_fullStr | JamCatcher: A Mobile Jammer Localization Scheme for Advanced Metering Infrastructure in Smart Grid |
| title_full_unstemmed | JamCatcher: A Mobile Jammer Localization Scheme for Advanced Metering Infrastructure in Smart Grid |
| title_short | JamCatcher: A Mobile Jammer Localization Scheme for Advanced Metering Infrastructure in Smart Grid |
| title_sort | jamcatcher a mobile jammer localization scheme for advanced metering infrastructure in smart grid |
| topic | smart grid advanced metering infrastructure (AMI) smart meters jamming radio interference localization |
| url | https://www.mdpi.com/1424-8220/19/4/909 |
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