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.
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页码：549 / 555
页数：7
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