一种可检测数据完整性的隐私数据融合算法

摘要

To solve the issues of malicious modification and privacy disclosing of aggregation value during the data aggregation phase of Wireless Sensor Networks (WSNs), a novel private data aggregation with data integrity checking algorithm is proposed, which is called Integrity-ChecKing Private Data Aggregation (ICKPDA) for WSNs. This algorithm first hides the sample data through combining it with secret seeds; then it enhances the privacy efficiency by data slicing and assembling technique. Finally, it converts the data to two-tuples to provide integrity checking by the relevance of binary data. The simulation results show that ICKPDA can effectively preserve data privacy, check the data integrity, and get accurate data aggregation results while having less communication and computation overhead.%　　针对无线传感器网络数据融合中可能出现的数据篡改和隐私泄露等问题，该文提出一种可进行完整性检测的无线传感器网络隐私数据融合算法 ICKPDA。该算法首先在感知数据中嵌入私密种子，对真实数据进行隐藏；然后通过数据分片和聚集技术，增强数据的隐私保护性；最后利用数据间的关联特性在基站进行完整性检测。仿真结果显示，相比于其它算法，ICKPDA 在保证融合结果精确的前提下，能有效地进行数据完整性检测和隐私保护，同时花费较少的数据通信量和计算量。