Travel Grant Proposal for Workshop on Data Confidentiality

数据保密研讨会差旅补助金提案

• 批准号: 0741571
• 负责人: Stephen Fienberg
• 金额: $ 3.1万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2008-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0741571&HistoricalAwards=false
• 关键词: Travel; Grant; Proposal; Workshop; Data

AbstractProposal Number: 0741571 PI: Stephen E. Fienberg Institution: Carnegie Mellon University Title: Travel Grant Proposal for Workshop on Data Confidentiality Abstract Carnegie Mellon University will host a workshop September 6-7, 2007 on data confidentiality. Increasingly, organizations are collecting data to, among other things, be made available to researchers. Many kinds of data are needed by researchers, including: - Census data - Health data - Network data, for example collected from users' access to the Internet or general background data collected from routers or other network services. Building on his extensive background involving security for statistical databases, the PI has assembled an impressive collection of experts. This workshop will explore ways to apply existing statistical methods for sanitization of data for these applications and, as needed, new methods suitable to other applications. Before data can be released to researchers it is essential that data confidentiality policies be respected. For example, from a released data set associated with the Census Bureau, it should not be possible to associate a particular individual or household with particular sensitive data items, such as household income. Network data made available should not associate a packet, and its associated destination on the Internet or Web, with an individual or even an IP address. Various techniques will be considered for the specification of data confidentiality requirements and for sanitization of the data to meet the requirements, including masking fields and data transformation techniques that preserve properties essential for the research use of the data. The technical topics to be covered in the workshop are as follows: - Languages to express confidentiality needs - Legal, regulation and policy issues - Societal and economic impacts - Limitations of the technology, particularly in the face of the limitations of cryptographic methods - Applications, including network data, census data, other databases - Education and training - Needed infrastructure support The PI will produce a report on the workshop's deliberations. The proposed workshop will assemble Government, industry and academic organizations representing different disciplines with diverse needs for data, and will consider different techniques for data sanitization. Microsoft and IBM will be co-sponsoring the workshop. Microsoft's needs, for example, are to sanitize data gathered from use of their search engines and browsers.

建议编号：0741571 PI：Stephen E.Fienberg研究所：卡内基梅隆大学名称：数据机密性研讨会旅行补助金提案卡内基梅隆大学将于2007年9月6-7日主办一次数据机密性研讨会。越来越多的组织正在收集数据，其中包括向研究人员提供数据。研究人员需要许多类型的数据，包括：-人口普查数据-健康数据-网络数据，例如从用户访问互联网收集的数据，或从路由器或其他网络服务收集的一般背景数据。在他涉及统计数据库安全的广泛背景的基础上，PI汇集了一批令人印象深刻的专家。该讲习班将探讨如何将现有的统计方法应用于这些应用程序的数据清理，并视需要探讨适用于其他应用程序的新方法。在将数据发布给研究人员之前，必须遵守数据保密政策。例如，从已发布的与人口普查局相关的数据集来看，应该不可能将特定的个人或家庭与特定的敏感数据项联系起来，例如家庭收入。提供的网络数据不应将信息包及其在Internet或Web上的关联目的地与个人甚至IP地址相关联。将考虑采用各种技术来规定数据保密性要求，并对数据进行消毒以满足要求，包括掩蔽域和数据转换技术，以保留对数据的研究用途至关重要的属性。讲习班将讨论的技术专题如下：--表达保密需要的语言--法律、法规和政策问题--社会和经济影响--技术的局限性，特别是面对加密方法的局限性--应用，包括网络数据、普查数据、其他数据库--教育和培训--所需的基础设施支持拟议的研讨会将汇集代表不同学科的政府、行业和学术组织，对数据有不同的需求，并将考虑不同的数据清理技术。微软和IBM将共同赞助这次研讨会。例如，微软的需求是对使用其搜索引擎和浏览器收集的数据进行清理。