轻量级的数据融合隐私保护算法  

Lightweight privacy-preserving data aggregation algorithm

作　　者：陈燕俐[1,2] 傅春福 许建[1,2] 杨庚[2] 

机构地区：[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

出　　处：《计算机应用》2014年第8期2336-2341,共6页journal of Computer Applications

基　　金：国家973计划项目(2011CB302903);国家自然科学基金资助项目(61272084);江苏省自然科学基金资助项目(BK2009426)

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。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.

关 键 词：无线传感器网络 数据融合 隐私保护 同态加密 同态Hash 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术] TP309.2[自动化与计算机技术—计算机科学与技术]