Privacy Preserving Association Rule Mining in Horizontally Partitioned Databases Without Involving Trusted Third Party (TTP)

被引：4

作者：

Modi, Chirag N. ^{[1
]}

Patil, Ashwini R. ^{[2
]}

机构：

[1] Natl Inst Technol Goa, Farmagudi, Goa, India

[2] Natl Inst Technol, Surat, India

来源：

PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, NETWORKING AND INFORMATICS, ICACNI 2015, VOL 2 | 2016年 / 44卷

关键词：

Distributed association rule; Privacy; Elliptic curve cryptography;

D O I：

10.1007/978-81-322-2529-4_57

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this research work, we design a security protocol that derives association rules securely from the horizontally distributed databases without a trusted third party (TTP), even communication channel is unsecured between involving sites. It ensures privacy and security of owner's with the help of elliptic curve based Diffie-Hellman and Digital Signature Algorithm.

引用

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页码：549 / 555

页数：7

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