{"title":"大数据发布匿名保护技术研究","authors":"Yuli Wang, Jiayin Tian, Cheng Yang, Yaping Zhu","doi":"10.1109/ICSESS.2016.7883103","DOIUrl":null,"url":null,"abstract":"Big data publishing anonymity technology is the main way to achieve privacy protection, it is a research hotspot of data publishing privacy protection. Applying anonymity protection to data is an effective way to protect the privacy of data subject in the process of micro data publishing. This paper analyzes the data publishing privacy protection technology in the anonymous models and main technologies, induces and summarizes the advantages and disadvantages of the anonymization algorithms and the existing problems. Finally, the development direction of privacy protection anonymity technology is prospected.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on anonymous protection technology for big data publishing\",\"authors\":\"Yuli Wang, Jiayin Tian, Cheng Yang, Yaping Zhu\",\"doi\":\"10.1109/ICSESS.2016.7883103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big data publishing anonymity technology is the main way to achieve privacy protection, it is a research hotspot of data publishing privacy protection. Applying anonymity protection to data is an effective way to protect the privacy of data subject in the process of micro data publishing. This paper analyzes the data publishing privacy protection technology in the anonymous models and main technologies, induces and summarizes the advantages and disadvantages of the anonymization algorithms and the existing problems. Finally, the development direction of privacy protection anonymity technology is prospected.\",\"PeriodicalId\":175933,\"journal\":{\"name\":\"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"118 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2016.7883103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2016.7883103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on anonymous protection technology for big data publishing
Big data publishing anonymity technology is the main way to achieve privacy protection, it is a research hotspot of data publishing privacy protection. Applying anonymity protection to data is an effective way to protect the privacy of data subject in the process of micro data publishing. This paper analyzes the data publishing privacy protection technology in the anonymous models and main technologies, induces and summarizes the advantages and disadvantages of the anonymization algorithms and the existing problems. Finally, the development direction of privacy protection anonymity technology is prospected.
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