| 书目名称 | Privacy in Statistical Databases |
| 副标题 | UNESCO Chair in Data |
| 编辑 | Josep Domingo-Ferrer,Emmanouil Magkos |
| 视频video | |
| 概述 | up-to-date results.fast track conference proceedings.state-of-the-art report |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | Privacy in statistical databases is a discipline whose purpose is to provide so- tionstothetensionbetweenthesocial,political,economicandcorporatedemand for accurate information, and the legal and ethical obligation to protect the p- vacy of the various parties involved. Those parties are the respondents (the individuals and enterprises to which the database records refer), the data o- ers (those organizations spending money in data collection) and the users (the ones querying the database or the search engine, who would like their queries to stay con?dential). Beyond law and ethics, there are also practical reasons for data-collecting agencies and corporations to invest in respondent privacy: if individual respondents feel their privacy guaranteed, they are likely to provide moreaccurateresponses. Data ownerprivacyis primarilymotivatedbypractical considerations: if an enterprise collects data at its own expense, it may wish to minimize leakage of those data to other enterprises (even to those with whom joint data exploitation is planned). Finally, user privacy results in increaseduser satisfaction, even if it may curtail the ability of the database owner to pro?le users. Thereareat |
| 出版日期 | Conference proceedings 2010 |
| 关键词 | algorithm analysis; data mining; database; microdata protection; privacy; tabular data protection; data st |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-15838-4 |
| isbn_ebook | 978-3-642-15838-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2010 |
发表于 2025-3-21 17:30:00
