發(fā)布時間：2018-03-24 16:55

  本文選題：隱私保護(hù)　切入點：最鄰近查詢　出處：《電力信息與通信技術(shù)》2016年11期

【摘要】：智能電網(wǎng)建立了用戶和電力企業(yè)之間雙向信息的渠道,但細(xì)粒度的用電量采集,會暴露用戶的用電行為、生活行為、行蹤和偏好等隱私信息。隱私保護(hù)是智能電網(wǎng)進(jìn)一步發(fā)展需要解決的重要問題。目前隱私保護(hù)主要面向求和、平均值和方差等聚合操作,無法應(yīng)對最鄰近查詢。文章探討面向最鄰近查詢的隱私保護(hù)方法,利用基于異或的同態(tài)加密函數(shù)和基于編碼比較的最小差值查詢,來設(shè)計最鄰近查詢的隱私保護(hù)。分析表明,基于異或的同態(tài)加密函數(shù)的最鄰近查詢的隱私保護(hù)方法具有較低的計算復(fù)雜度和通信開銷,適用于計算能力有限和通信帶寬較小的智能電表節(jié)點。
[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.
【作者單位】： 國網(wǎng)甘肅省電力公司經(jīng)濟(jì)技術(shù)研究院;
【分類號】：TM76

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本文編號：1659191