面向雾增强型工业物联网的多维安全查询方案

Multi-dimensional secure query scheme for fog-enhanced IIoT

针对现有范围查询方案进行多维数据查询时缺乏隐私保护的问题,提出了一种带有隐私保护特性的面向雾增强型工业物联网多维安全查询方案。该方案首先将用户待查询的多个维度区间映射成一个查询矩阵;然后,构造辅助向量对查询矩阵进行分解,利用BGN同态加密对辅助向量进行处理形成查询陷门;最后,物联网设备终端利用同态特性将传感数据与查询陷门进行匹配。特殊辅助向量有效降低了方案空间复杂度,同态加密的自盲性保证了传感数据机密性和用户查询模式的隐私。仿真实验结果表明,所提方案的计算开销和通信开销较低。

In view of the fact that most of the existing range query schemes for fog-enhanced IoT cannot achieve both multi-dimensional query and privacy protection,a privacy-preserving multi-dimensional secure query scheme for fog-enhanced IIoT was proposed.Firstly,the multiple ranges to be queried were mapped into a certain query matrix.Then,auxiliary vectors were constructed to decompose the query matrix,and then the auxiliary vector was processed by BGN homomorphic encryption to form a query trapdoor.Finally,with the homomorphic computation utilized by an IoT device terminal,the query trapdoor could be matched to its sensor data.Spatial complexity could be effectively reduced with the used specific auxiliary vectors.The confidentiality of sensor data could be ensured and the privacy of user’s query mode could be protected by the homomorphic encryption property.Experiments results show that the computational and communication costs are relatively low.