{"title":"泛在计算中基于熵的个人隐私度量","authors":"Tinghuai Ma, J. Cao, Ankhbayar Otgonbayar","doi":"10.1109/U-MEDIA.2014.36","DOIUrl":null,"url":null,"abstract":"This paper designs a scheme, which can quantize the personal privacy based on profile and context, using entropy. It aims to configure the person's privacy in numerical form that can be dynamically adjusted instead of using the traditional simple rule engine. In addition, we design the scenario to design a adjust algorithm to modify the privacy based on numerical values.","PeriodicalId":174849,"journal":{"name":"2014 7th International Conference on Ubi-Media Computing and Workshops","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Entropy Based Personal Privacy Measurement in Ubiquitous Computing\",\"authors\":\"Tinghuai Ma, J. Cao, Ankhbayar Otgonbayar\",\"doi\":\"10.1109/U-MEDIA.2014.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper designs a scheme, which can quantize the personal privacy based on profile and context, using entropy. It aims to configure the person's privacy in numerical form that can be dynamically adjusted instead of using the traditional simple rule engine. In addition, we design the scenario to design a adjust algorithm to modify the privacy based on numerical values.\",\"PeriodicalId\":174849,\"journal\":{\"name\":\"2014 7th International Conference on Ubi-Media Computing and Workshops\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 7th International Conference on Ubi-Media Computing and Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/U-MEDIA.2014.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 7th International Conference on Ubi-Media Computing and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/U-MEDIA.2014.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Entropy Based Personal Privacy Measurement in Ubiquitous Computing
This paper designs a scheme, which can quantize the personal privacy based on profile and context, using entropy. It aims to configure the person's privacy in numerical form that can be dynamically adjusted instead of using the traditional simple rule engine. In addition, we design the scenario to design a adjust algorithm to modify the privacy based on numerical values.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
