WSN中一种基于扩展卡尔曼滤波器的虚假数据注入检测算法
为了有效地检测传感器网络中被注入的虚假数据，提出一种基于扩展卡尔曼滤波器（EKF）的虚假数据注入检测算法。首先通过监控邻近节点行为，使用EKF预测邻近节点未来状态；然后给出了使用不同的融合函数（平均、求和、最大、最小）时理论阈值的确定方法；最后为了克服本地检测机制的缺陷，将本地检测方法与系统监控模块有效配合，从而准确地区分出恶性事件和紧急事件。仿真实验结果表明，无论是在合成数据还是实时数据下进行测试，该算法都能为无线传感器网络进行安全的数据融合提供有效的入侵检测功能。...
Saved in:
| Published in | 计算机应用研究 Vol. 31; no. 5; pp. 1475 - 1480 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
School of Computer，Chongqing College of Electronic Engineering，Chongqing 401331，Chin
2014
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-3695 |
| DOI | 10.3969/j.issn.1001-3695.2014.05.046 |
Cover
Loading…
| Abstract | 为了有效地检测传感器网络中被注入的虚假数据，提出一种基于扩展卡尔曼滤波器（EKF）的虚假数据注入检测算法。首先通过监控邻近节点行为，使用EKF预测邻近节点未来状态；然后给出了使用不同的融合函数（平均、求和、最大、最小）时理论阈值的确定方法；最后为了克服本地检测机制的缺陷，将本地检测方法与系统监控模块有效配合，从而准确地区分出恶性事件和紧急事件。仿真实验结果表明，无论是在合成数据还是实时数据下进行测试，该算法都能为无线传感器网络进行安全的数据融合提供有效的入侵检测功能。 |
|---|---|
| AbstractList | TP391; 为了有效地检测传感器网络中被注入的虚假数据，提出一种基于扩展卡尔曼滤波器（EKF）的虚假数据注入检测算法。首先通过监控邻近节点行为，使用EKF预测邻近节点未来状态；然后给出了使用不同的融合函数（平均、求和、最大、最小）时理论阈值的确定方法；最后为了克服本地检测机制的缺陷，将本地检测方法与系统监控模块有效配合，从而准确地区分出恶性事件和紧急事件。仿真实验结果表明，无论是在合成数据还是实时数据下进行测试，该算法都能为无线传感器网络进行安全的数据融合提供有效的入侵检测功能。 为了有效地检测传感器网络中被注入的虚假数据，提出一种基于扩展卡尔曼滤波器（EKF）的虚假数据注入检测算法。首先通过监控邻近节点行为，使用EKF预测邻近节点未来状态；然后给出了使用不同的融合函数（平均、求和、最大、最小）时理论阈值的确定方法；最后为了克服本地检测机制的缺陷，将本地检测方法与系统监控模块有效配合，从而准确地区分出恶性事件和紧急事件。仿真实验结果表明，无论是在合成数据还是实时数据下进行测试，该算法都能为无线传感器网络进行安全的数据融合提供有效的入侵检测功能。 |
| Abstract_FL | In order to effectively detect the false injected data，this paper proposed a detection algorithm of false injected data based on an extended Kalman filter. Firstly， by monitoring the behaviors of its neighbors ，it used EKF to predict their future states. |
| Author | 熊伟 |
| AuthorAffiliation | 重庆电子工程职业学院计算机学院,重庆401331 |
| AuthorAffiliation_xml | – name: School of Computer，Chongqing College of Electronic Engineering，Chongqing 401331，Chin |
| Author_FL | XIONG Wei |
| Author_FL_xml | – sequence: 1 fullname: XIONG Wei |
| Author_xml | – sequence: 1 fullname: 熊伟 |
| BookMark | eNo9j01LAkEcxudgkFofIujQZbf_7OzM7hxDeiOpQ0JHWffFXGosl4i9GRQRYacktEP0RnZIDAnE-jjO2Mdow-j0wI8fz8OTQSlRFT5C8xh0whlfDPVKFAkdA2CNME51A7CpA9XBZCmU_ufTKBNFIYBpYA5ptLGzvTkavI0G9fFLQ94NR8MrdfEq35uycS971-r2S30-qf6DbHXG7dPvVluenKtmTzW6qt-RZ8_qsa4-LsfdG9VvzqCpwNmL_Nm_zKLCynIht6blt1bXc0t5zaWcadwnlmtZtk0Cyksu4QahHiMe-NQwCaMJdT1qgOeDxT3OGLeIEZRcCIDYdoBJFi1Mao8dETiiXAyrRzWRDBbDKIzjOPx9DjT5nahzE9XdrYryYSWRD2qVfacWF01OKLcwIT_Eg3b8 |
| ClassificationCodes | TP391 |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 2RA 92L CQIGP W92 ~WA 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.3969/j.issn.1001-3695.2014.05.046 |
| DatabaseName | 维普期刊资源整合服务平台 中文科技期刊数据库-CALIS站点 中文科技期刊数据库-7.0平台 中文科技期刊数据库-工程技术 中文科技期刊数据库- 镜像站点 Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| DocumentTitleAlternate | Detection algorithm of false injected data based on extended Kalman filter in wireless sensor networks |
| DocumentTitle_FL | Detection algorithm of false injected data based on extended Kalman filter in wireless sensor networks |
| EndPage | 1480 |
| ExternalDocumentID | jsjyyyj201405046 49359713 |
| GroupedDBID | -0Y 2B. 2C0 2RA 5XA 5XJ 92H 92I 92L ACGFS ALMA_UNASSIGNED_HOLDINGS CCEZO CQIGP CUBFJ CW9 TCJ TGT U1G U5S W92 ~WA 4A8 93N ABJNI PSX |
| ID | FETCH-LOGICAL-c596-9e37c77883f59bc39235d63d0e524365f59cd520de079d9669732fbc0f0388f13 |
| ISSN | 1001-3695 |
| IngestDate | Thu May 29 03:54:50 EDT 2025 Wed Feb 14 10:37:33 EST 2024 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 5 |
| Keywords | wireless sensor networks aggregation function 阈值 extended Kalman filter 虚假数据 threshold 无线传感器网络 数据融合 扩展卡尔曼滤波器 data aggregation 融合函数 false data |
| Language | Chinese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c596-9e37c77883f59bc39235d63d0e524365f59cd520de079d9669732fbc0f0388f13 |
| Notes | XIONG Wei （School of Computer, Chongqing College of Electronic Engineering, Chongqing 401331, China） 51-1196/TP wireless sensor networks; data aggregation; false data; extended Kalman filter; aggregation function; threshold In order to effectively detect the false injected data, this paper proposed a detection algorithm Of false injected data based on an extended Kalman filter. Firstly, by monitoring the behaviors of its neighbors , it used EKF to predict their future states. Secondly, using different aggregation functions （average, sum, max, and min）, it presented how to obtain a theoretical threshold. Finally, to overcome the limitations of local detection mechanisms, it illustrated how the proposed local detection approaches worked together with the system monitoring module to differentiate between malicious events and emergency events. Simulation results show that this proposed algorithm is suitable to provide intrusion detection capabilities for secure in-network aggregation in wireless sensor networks, whe |
| PageCount | 6 |
| ParticipantIDs | wanfang_journals_jsjyyyj201405046 chongqing_primary_49359713 |
| PublicationCentury | 2000 |
| PublicationDate | 2014 |
| PublicationDateYYYYMMDD | 2014-01-01 |
| PublicationDate_xml | – year: 2014 text: 2014 |
| PublicationDecade | 2010 |
| PublicationTitle | 计算机应用研究 |
| PublicationTitleAlternate | Application Research of Computers |
| PublicationTitle_FL | Application Research of Computers |
| PublicationYear | 2014 |
| Publisher | School of Computer，Chongqing College of Electronic Engineering，Chongqing 401331，Chin |
| Publisher_xml | – name: School of Computer，Chongqing College of Electronic Engineering，Chongqing 401331，Chin |
| SSID | ssj0042190 ssib001102940 ssib002263599 ssib023646305 ssib051375744 ssib025702191 |
| Score | 1.9407604 |
| Snippet | ... TP391;... |
| SourceID | wanfang chongqing |
| SourceType | Aggregation Database Publisher |
| StartPage | 1475 |
| SubjectTerms | 扩展卡尔曼滤波器 数据融合 无线传感器网络 虚假数据 融合函数 阈值 |
| Title | WSN中一种基于扩展卡尔曼滤波器的虚假数据注入检测算法 |
| URI | http://lib.cqvip.com/qk/93231X/201405/49359713.html https://d.wanfangdata.com.cn/periodical/jsjyyyj201405046 |
| Volume | 31 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR1NTxUxsCGQGC9-G8GPYEKPi_vVbXvsPpYQjVzEyO3l7Rf4Dg8VOMAJE40xBk8SAx6MXxEPEgwxIejPYRd_hjPdvsfGEKJemmamnc52-mamfe0MISOpm3otMEVWnomW5XtBaonMjy07DmKeOS07lfjA-fZkMHHXvznNpvv69mq3lhYX4tFk-ch3Jf8jVYCBXPGV7D9ItkcUAFAH-UIJEobyr2R8784kjXwaCqrGTEXYNOJUcSoAwqgcp6HSKEVFRKOACkmVRFToUMmwAi2VoyE2lT62kSENG1gJQ6o0JPSocjVB6C5wCAkEASUQAnWk41DBdXdNCscCylG3u9BtGFUMIcrTrAIKgKHmOaKSm8ZVRsyu04yjABaZrDWTDf1pDEtkm2NZ8aZsA4EvDXtHjwgQwFQ1Hw2Ym_qRR_XI1OhnvAHmBYYLo8CNGblf_4tca2PHr7KyGMsOOz_7KKvhyUBqq4FDjPaGwHt_vg7r6v8RrFubfx_fNHNMmDzgcu6ARh1Q4Vg4fuiMgu9WD07oYtyfw80fRu4PatoW0wmC-ehpW-Z4nOncBJVf4QOyiq1h-DtBRgzzN45jHYOGzM51Zh6CK6RfpnXyVmem5kRNnSGnzO5nWFVL-SzpW549R053M4sMG0NzntyClb2_-3V_d-Xg82rxdm9_72X5_Evxba1YfVdsvyrf_Cx_fCx33hfrmwcbT36tbxSPn5Vr2-XqVrmzWTz9VH5YKb-_ONh6Xe6sXSBT49FUY8IyaT-shMnAkpnHE86F8HIm4wT8d4-lgZfaGXNBlzCAJilz7TSzuUxht47xpvI4sXMMbJQ73kXS35nrZJfIcCYDDhsS6cSt3AfXWfK0lYENYqmTuWmSDZKh3tQ0H1TRXZpduQ6S62aumuYnP99sz7eXlpbaOLs2g7kdOo7AZXISG1bndVdI_8KjxewqeLAL8TWzVH4D8SqAPg |
| linkProvider | EBSCOhost |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=WSN%E4%B8%AD%E4%B8%80%E7%A7%8D%E5%9F%BA%E4%BA%8E%E6%89%A9%E5%B1%95%E5%8D%A1%E5%B0%94%E6%9B%BC%E6%BB%A4%E6%B3%A2%E5%99%A8%E7%9A%84%E8%99%9A%E5%81%87%E6%95%B0%E6%8D%AE%E6%B3%A8%E5%85%A5%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95&rft.jtitle=%E8%AE%A1%E7%AE%97%E6%9C%BA%E5%BA%94%E7%94%A8%E7%A0%94%E7%A9%B6&rft.au=%E7%86%8A%E4%BC%9F&rft.date=2014&rft.issn=1001-3695&rft.volume=31&rft.issue=5&rft.spage=1475&rft.epage=1480&rft_id=info:doi/10.3969%2Fj.issn.1001-3695.2014.05.046&rft.externalDocID=49359713 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F93231X%2F93231X.jpg http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fjsjyyyj%2Fjsjyyyj.jpg |