{"title":"使用可执行的基于格的结构捕获P3P语义","authors":"Kambiz Ghazinour, K. Barker","doi":"10.1145/1971690.1971694","DOIUrl":null,"url":null,"abstract":"With the increasing amount of data collected by service providers, privacy concerns increase for data owners who must provide private data to receive services. Legislative acts require service providers to protect the privacy of customers. Privacy policy frameworks, such as P3P, assist the service providers by describing their privacy policies to customers (e.g. publishing privacy policy on websites). Unfortunately, providing the policies alone does not guarantee that they are actually enforced. Furthermore, a privacy-preserving model should consider the privacy preferences of both the data provider and collector. This paper discusses the challenges in development of capturing privacy predicates in a lattice structures. A use case study is presented to show the applicability of the lattice approach to a specific domain. We also present a comprehensive study on applying a lattice-based approach to P3P. We show capturing privacy elements of P3P in a lattice format facilitates managing and enforcing policies presented in P3P and accommodates the customization of privacy practices and preferences of data and service providers. We also propose that the outcome of this approach can be used on lattice-based privacy aware access control models [8].","PeriodicalId":245552,"journal":{"name":"International Conference on Pattern Analysis and Intelligent Systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Capturing P3P semantics using an enforceable lattice-based structure\",\"authors\":\"Kambiz Ghazinour, K. Barker\",\"doi\":\"10.1145/1971690.1971694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the increasing amount of data collected by service providers, privacy concerns increase for data owners who must provide private data to receive services. Legislative acts require service providers to protect the privacy of customers. Privacy policy frameworks, such as P3P, assist the service providers by describing their privacy policies to customers (e.g. publishing privacy policy on websites). Unfortunately, providing the policies alone does not guarantee that they are actually enforced. Furthermore, a privacy-preserving model should consider the privacy preferences of both the data provider and collector. This paper discusses the challenges in development of capturing privacy predicates in a lattice structures. A use case study is presented to show the applicability of the lattice approach to a specific domain. We also present a comprehensive study on applying a lattice-based approach to P3P. We show capturing privacy elements of P3P in a lattice format facilitates managing and enforcing policies presented in P3P and accommodates the customization of privacy practices and preferences of data and service providers. We also propose that the outcome of this approach can be used on lattice-based privacy aware access control models [8].\",\"PeriodicalId\":245552,\"journal\":{\"name\":\"International Conference on Pattern Analysis and Intelligent Systems\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Pattern Analysis and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1971690.1971694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Pattern Analysis and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1971690.1971694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Capturing P3P semantics using an enforceable lattice-based structure
With the increasing amount of data collected by service providers, privacy concerns increase for data owners who must provide private data to receive services. Legislative acts require service providers to protect the privacy of customers. Privacy policy frameworks, such as P3P, assist the service providers by describing their privacy policies to customers (e.g. publishing privacy policy on websites). Unfortunately, providing the policies alone does not guarantee that they are actually enforced. Furthermore, a privacy-preserving model should consider the privacy preferences of both the data provider and collector. This paper discusses the challenges in development of capturing privacy predicates in a lattice structures. A use case study is presented to show the applicability of the lattice approach to a specific domain. We also present a comprehensive study on applying a lattice-based approach to P3P. We show capturing privacy elements of P3P in a lattice format facilitates managing and enforcing policies presented in P3P and accommodates the customization of privacy practices and preferences of data and service providers. We also propose that the outcome of this approach can be used on lattice-based privacy aware access control models [8].