Multilocation Watermarking Algorithm for Energy Big Data Based on Orthogonal Coding

Abstract

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.