Fast Cryptographic Multi-party Protocols for Computing Boolean Scalar Products with Applications to Privacy-Preserving Association Rule Mining in Vertically Partitioned Data

机译：用于计算布尔型标量产品的快速加密多方协议及其在垂直分区数据中保护隐私的关联规则挖掘中的应用

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

Recently, the problem of privately mining association rules in vertically partitioned data has been reduced to the problem of privately computing boolean scalar products. In this paper, we propose two cryptographic multi-party protocols for privately computing boolean scalar products. The proposed protocols are shown to be secure and much faster than other protocols for the same problem.

机译：近来，在垂直划分的数据中私下挖掘关联规则的问题已经减少到私下计算布尔型标量产品的问题。在本文中，我们提出了两个用于加密计算布尔标量产品的加密多方协议。对于相同的问题，建议的协议被证明是安全的，并且比其他协议要快得多。

著录项

来源
《International Conference on Data Warehousing and Knowledge Discovery(DaWaK 2007); 20070903-07; Regensburg(DE)》|2007年|P.418-427|共10页
会议地点 Regensburg(DE)
作者
Dragos Trinca; Sanguthevar Rajasekaran;
展开▼
作者单位

Department of Computer Science and Engineering University of Connecticut Storrs, CT 06269, USA;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类 TP311.13;
关键词

相似文献

外文文献
中文文献
专利

1. Privacy-preserving association rule mining for horizontally partitioned healthcare data: a case study on the heart diseases [J] . NIKUNJ DOMADIYA, UDAI PRATAP RAO Sadhana . 2018,第8期

机译：水平划分的医疗数据的隐私保护关联规则挖掘：心脏病案例研究
2. Privacy-preserving association rule mining for horizontally partitioned healthcare data: a case study on the heart diseases [J] . Domadiya Nikunj, Rao Udai Pratap Sadhana: Academy Proceedings in Engineering Science . 2018,第8期

机译：隐私保留关联规则挖掘水平分区医疗保健数据：心脏病案例研究
3. Privacy Preserving Distributed Association Rule Mining Approach on Vertically Partitioned Healthcare Data [J] . Nikunj Domadiya, Udai Pratap Rao Procedia Computer Science . 2019,第22期

机译：垂直分区医疗数据的隐私保护分布式关联规则挖掘方法
4. Fast Cryptographic Multi-party Protocols for Computing Boolean Scalar Products with Applications to Privacy-Preserving Association Rule Mining in Vertically Partitioned Data [C] . Dragos Trinca, Sanguthevar Rajasekaran International Conference on Data Warehousing and Knowledge Discovery(DaWaK 2007) . 2007

机译：用于计算布尔标量产品的快速加密多方协议，以应用于隐私保留关联规则挖掘在垂直分区数据中
5. Association rule mining over multiple databases: Partitioned and incremental approaches. [D] . Kona, Hima Valli. 2003

机译：在多个数据库上进行关联规则挖掘：分区和增量方法。
6. Algorithm for finding partitionings of hard variants of boolean satisfiability problem with application to inversion of some cryptographic functions [O] . Alexander Semenov, Oleg Zaikin -1

机译：查找布尔可满足性问题的硬变体分区的算法及其在某些密码函数求逆中的应用
7. A Fast Secure Dot Product Protocol with Application to Privacy Preserving Association Rule Mining [O] . Changyu Dong, Liqun Chen 2016

机译：一种快速安全点产品协议及其在隐私保护关联规则挖掘中的应用

Fast Cryptographic Multi-party Protocols for Computing Boolean Scalar Products with Applications to Privacy-Preserving Association Rule Mining in Vertically Partitioned Data

摘要

著录项

相似文献

相关主题

期刊订阅