智能电网中的面向最邻近查询的隐私保护方法

发布时间：2018-03-24 16:55

本文选题：隐私保护　切入点：最邻近查询　出处：《电力信息与通信技术》2016年11期

【摘要】：智能电网建立了用户和电力企业之间双向信息的渠道,但细粒度的用电量采集,会暴露用户的用电行为、生活行为、行踪和偏好等隐私信息。隐私保护是智能电网进一步发展需要解决的重要问题。目前隐私保护主要面向求和、平均值和方差等聚合操作,无法应对最邻近查询。文章探讨面向最邻近查询的隐私保护方法,利用基于异或的同态加密函数和基于编码比较的最小差值查询,来设计最邻近查询的隐私保护。分析表明,基于异或的同态加密函数的最邻近查询的隐私保护方法具有较低的计算复杂度和通信开销,适用于计算能力有限和通信带宽较小的智能电表节点。
[Abstract]:The smart grid establishes a two-way information channel between users and power companies, but fine-grained electricity consumption collection will expose the consumer's behavior in electricity consumption and life. Privacy protection is an important problem to be solved in the further development of smart grid. At present, privacy protection is mainly oriented to aggregate operations such as summation, average value and variance. The privacy protection method for nearest neighbor query is discussed in this paper. The privacy protection of nearest neighbor query is designed by using homomorphic encryption function based on XOR and minimum difference query based on coding comparison. The privacy protection method of nearest neighbor query based on heteromorphic cryptographic function has low computational complexity and communication overhead. It is suitable for intelligent meter nodes with limited computing power and small communication bandwidth.
【作者单位】：国网甘肃省电力公司经济技术研究院;
【分类号】：TM76

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