| 轻量级的数据融合隐私保护算法 |
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| 引用本文： | 陈燕俐,傅春福,许建,杨庚.轻量级的数据融合隐私保护算法[J].计算机应用,2014,34(8):2336-2341. |
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| 作者姓名： | 陈燕俐 傅春福 许建 杨庚 |
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| 作者单位： | 1. 南京邮电大学 计算机学院，南京210003
2. 南京邮电大学 宽带无线通信与传感网技术教育部重点实验室，南京210003
3. 南京邮电大学 计算机学院,南京 210003 |
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| 基金项目： | 国家973计划项目;国家自然科学基金资助项目;江苏省自然科学基金资助项目 |
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| 摘 要： | 针对隐私数据易受数据机密性、完整性和新鲜性攻击这一问题，提出了一种基于同态Hash函数的无线传感器网络(WSN)数据融合隐私保护算法--HPDA算法。利用同态加密算法保证了融合数据的机密性，通过构建同态Hash函数进行数据的完整性和新鲜性检测，通过改进的ID传输机制减少系统的通信开销。理论分析和实验仿真结果表明，HPDA算法在无线传感器网络数据融合过程中具有良好的数据机密性、完整性和新鲜性保护，且具有较低的通信开销。
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| 收稿时间： | 2014-02-21 |
| 修稿时间： | 2014-03-28 |
Lightweight privacy-preserving data aggregation algorithm |
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| CHEN Yanli FU Chunjuan XU Jian YANG Geng.Lightweight privacy-preserving data aggregation algorithm[J].journal of Computer Applications,2014,34(8):2336-2341. |
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| Authors: | CHEN Yanli FU Chunjuan XU Jian YANG Geng |
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| Affiliation: | 1. Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education, Nanjing Jiangsu 210003, China
2. School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu 210003, China; |
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| Abstract: | Private data is easy to suffer from the attacks about data confidentiality, integrity and freshness. To resolve this problem, a secure data aggregation algorithm based on homomorphic Hash function was proposed, called HPDA (High-Efficiency Privacy Preserving Data Aggregation) algorithm. Firstly, it used homomorphic encryption scheme to provide data privacy-preserving. Secondly, it adopted homomorphic Hash function to verify the integrity and freshness of aggregated data. Finally, it reduced the communication overhead of the system by improved ID transmission mechanism. The theoretical analyses and experimental simulation results show that HPDA can effectively preserve data confidentiality, check data integrity, satisfy data freshness, and bring low communication overhead. |
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