基于正交编码的能源大数据多位置水印算法

Zhenhua Yan, Xuwei Xia, Rui Ma, Dongge Zhu, Xiaolong Li
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引用次数: 0

摘要

网格能源数据中包含了大量的用户数据。如何保护用户数据的隐私是当今相关领域的热点问题。为了保护能源大数据的隐私性,提高水印嵌入的正确性,本文提出了一种基于正交编码的多位置水印嵌入算法。在分析能源互联网大数据隐私保护需求的基础上,计算需求响应机制,并在能源大数据文本中嵌入多位置水印。实验结果表明,水印嵌入算法是正确的,传输延迟为4ms,提高了水印嵌入算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multilocation Watermarking Algorithm for Energy Big Data Based on Orthogonal Coding
Grid energy data contains a large amount of user data. How to protect the privacy of user data is a hot issue in related fields today. In order to protect the privacy of energy big data and improve the correctness of watermark embedding, this paper proposes a multi-location watermark embedding algorithm based on orthogonal coding. Based on the analysis of the demand of big data privacy protection in energy internet, the demand response mechanism is calculated, and the multi-location watermarking is embedded in the energy big data text. Experimental results show that the watermark embedding algorithm is correct and the transmission delay is 4ms, which improves the performance of the watermark embedding algorithm.
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