Zhenhua Yan, Xuwei Xia, Rui Ma, Dongge Zhu, Xiaolong Li
{"title":"基于正交编码的能源大数据多位置水印算法","authors":"Zhenhua Yan, Xuwei Xia, Rui Ma, Dongge Zhu, Xiaolong Li","doi":"10.1109/dsins54396.2021.9670621","DOIUrl":null,"url":null,"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.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multilocation Watermarking Algorithm for Energy Big Data Based on Orthogonal Coding\",\"authors\":\"Zhenhua Yan, Xuwei Xia, Rui Ma, Dongge Zhu, Xiaolong Li\",\"doi\":\"10.1109/dsins54396.2021.9670621\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":243724,\"journal\":{\"name\":\"2021 International Conference on Digital Society and Intelligent Systems (DSInS)\",\"volume\":\"137 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Digital Society and Intelligent Systems (DSInS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/dsins54396.2021.9670621\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dsins54396.2021.9670621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.