Protecting Data Source Location Privacy in Wireless Sensor Networks against a Global Eavesdropper
Data source location privacy (DSLP) is of great importance for some asset monitoring applications in wireless sensor networks (WSNs). Besides the source simulation (SS) method to protect the DSLP against a global eavesdropper in WSNs, other existing methods are based on the panda-hunter game model (...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2014-08-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/492802 |
| _version_ | 1827008989043359744 |
|---|---|
| author | Rong-hua Hu Xiao-mei Dong Da-ling Wang |
| author_facet | Rong-hua Hu Xiao-mei Dong Da-ling Wang |
| author_sort | Rong-hua Hu |
| collection | DOAJ |
| description | Data source location privacy (DSLP) is of great importance for some asset monitoring applications in wireless sensor networks (WSNs). Besides the source simulation (SS) method to protect the DSLP against a global eavesdropper in WSNs, other existing methods are based on the panda-hunter game model (PHGM) without considering the communication between data sources and reporter sources, which can cause them to be ineffective. Moreover, there are two limitations in SS. First, the reporter source cannot generate effective event reports. Second, it is unsuitable to track multiobjects accurately. To address the former issue, an improved source simulation (ISS) method is proposed which adjusts the event report strategy. To solve the latter issue, an updated-panda-hunter game model (UPHGM) is proposed and a formal model of the DSLP issues is also presented. Then, based on the UPHGM, an energy-efficient grid-based pull (GBP) scheme is designed to protect the DSLP by combining a light-weight security object collection scheme with an effective grid partition method. Analysis and simulation results show that GBP outperforms SS and ISS in terms of energy cost on the whole. |
| first_indexed | 2024-03-12T11:06:46Z |
| format | Article |
| id | doaj.art-bcf0b88a8e8b40839253b9af0206e121 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2025-02-18T12:41:36Z |
| publishDate | 2014-08-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-bcf0b88a8e8b40839253b9af0206e1212024-11-02T04:11:56ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-08-011010.1155/2014/492802492802Protecting Data Source Location Privacy in Wireless Sensor Networks against a Global EavesdropperRong-hua HuXiao-mei DongDa-ling WangData source location privacy (DSLP) is of great importance for some asset monitoring applications in wireless sensor networks (WSNs). Besides the source simulation (SS) method to protect the DSLP against a global eavesdropper in WSNs, other existing methods are based on the panda-hunter game model (PHGM) without considering the communication between data sources and reporter sources, which can cause them to be ineffective. Moreover, there are two limitations in SS. First, the reporter source cannot generate effective event reports. Second, it is unsuitable to track multiobjects accurately. To address the former issue, an improved source simulation (ISS) method is proposed which adjusts the event report strategy. To solve the latter issue, an updated-panda-hunter game model (UPHGM) is proposed and a formal model of the DSLP issues is also presented. Then, based on the UPHGM, an energy-efficient grid-based pull (GBP) scheme is designed to protect the DSLP by combining a light-weight security object collection scheme with an effective grid partition method. Analysis and simulation results show that GBP outperforms SS and ISS in terms of energy cost on the whole.https://doi.org/10.1155/2014/492802 |
| spellingShingle | Rong-hua Hu Xiao-mei Dong Da-ling Wang Protecting Data Source Location Privacy in Wireless Sensor Networks against a Global Eavesdropper International Journal of Distributed Sensor Networks |
| title | Protecting Data Source Location Privacy in Wireless Sensor Networks against a Global Eavesdropper |
| title_full | Protecting Data Source Location Privacy in Wireless Sensor Networks against a Global Eavesdropper |
| title_fullStr | Protecting Data Source Location Privacy in Wireless Sensor Networks against a Global Eavesdropper |
| title_full_unstemmed | Protecting Data Source Location Privacy in Wireless Sensor Networks against a Global Eavesdropper |
| title_short | Protecting Data Source Location Privacy in Wireless Sensor Networks against a Global Eavesdropper |
| title_sort | protecting data source location privacy in wireless sensor networks against a global eavesdropper |
| url | https://doi.org/10.1155/2014/492802 |
| work_keys_str_mv | AT ronghuahu protectingdatasourcelocationprivacyinwirelesssensornetworksagainstaglobaleavesdropper AT xiaomeidong protectingdatasourcelocationprivacyinwirelesssensornetworksagainstaglobaleavesdropper AT dalingwang protectingdatasourcelocationprivacyinwirelesssensornetworksagainstaglobaleavesdropper |