A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks
With the rapid development and widespread use of wearable wireless sensors, data aggregation technique becomes one of the most important research areas. However, the sensitive data collected by sensor nodes may be leaked at the intermediate aggregator nodes. So, privacy preservation is becoming an i...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/104286 |
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| _version_ | 1832558930989940736 |
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| author | Changlun Zhang Chao Li Jian Zhang |
| author_facet | Changlun Zhang Chao Li Jian Zhang |
| author_sort | Changlun Zhang |
| collection | DOAJ |
| description | With the rapid development and widespread use of wearable wireless sensors, data aggregation technique becomes one of the most important research areas. However, the sensitive data collected by sensor nodes may be leaked at the intermediate aggregator nodes. So, privacy preservation is becoming an increasingly important issue in security data aggregation. In this paper, we propose a security privacy-preserving data aggregation model, which adopts a mixed data aggregation structure. Data integrity is verified both at cluster head and at base station. Some nodes adopt slicing technology to avoid the leak of data at the cluster head in inner-cluster. Furthermore, a mechanism is given to locate the compromised nodes. The analysis shows that the model is robust to many attacks and has a lower communication overhead. |
| format | Article |
| id | doaj-art-53009127dde84ebb8cc1319bfe45803f |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-53009127dde84ebb8cc1319bfe45803f2025-02-03T01:31:18ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552015-01-01201510.1155/2015/104286104286A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor NetworksChanglun Zhang0Chao Li1Jian Zhang2Science School, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaScience School, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaScience School, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaWith the rapid development and widespread use of wearable wireless sensors, data aggregation technique becomes one of the most important research areas. However, the sensitive data collected by sensor nodes may be leaked at the intermediate aggregator nodes. So, privacy preservation is becoming an increasingly important issue in security data aggregation. In this paper, we propose a security privacy-preserving data aggregation model, which adopts a mixed data aggregation structure. Data integrity is verified both at cluster head and at base station. Some nodes adopt slicing technology to avoid the leak of data at the cluster head in inner-cluster. Furthermore, a mechanism is given to locate the compromised nodes. The analysis shows that the model is robust to many attacks and has a lower communication overhead.http://dx.doi.org/10.1155/2015/104286 |
| spellingShingle | Changlun Zhang Chao Li Jian Zhang A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks Journal of Electrical and Computer Engineering |
| title | A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks |
| title_full | A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks |
| title_fullStr | A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks |
| title_full_unstemmed | A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks |
| title_short | A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks |
| title_sort | secure privacy preserving data aggregation model in wearable wireless sensor networks |
| url | http://dx.doi.org/10.1155/2015/104286 |
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