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114882

PRIVACY-PRESERVING DATA MINING OF DISTRIBUTED DATABASES USING NAÏVE BAYES CLASSIFIER

Article

Last updated: 04 Jan 2025

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Subjects

-

Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

Privacy-preserving data mining is discovering accurate patterns and rules without precise access to the original data. In this paper, we propose a novel algorithm for privacy preserving data mining. The proposed algorithm is based on the integration of RSA public key cryptosystem and homomorphic encryption scheme. No data is shared between distributed parties except the final result. Data mining algorithm is performed locally for each party. The final result of all parties is compared to get the target value. Previous solution for privacy preserving data mining of Naive Bayes classifier is based on secure sum that may permit collusion between parties, which is not here in proposed solution. Theoretical analysis and experimental results show that the proposed algorithm can provide good capability of privacy preserving, accuracy and efficiency.

DOI

10.21608/jesaun.2013.114882

Keywords

privacy preserving, Naive Bayes classifier, distributed databases, secure multiparty computation

Authors

First Name

Mohamed A.

Last Name

Ouda

MiddleName

-

Affiliation

Depart. of Communication and Computer, Faculty of Engineering Helwan University, Cairo – Egypt

Email

mohamed_awad099@yhoo.com

City

-

Orcid

-

First Name

Sameh A.

Last Name

Salem

MiddleName

-

Affiliation

Depart. of Communication and Computer, Faculty of Engineering Helwan University, Cairo – Egypt

Email

-

City

-

Orcid

-

Volume

41

Article Issue

No 4

Related Issue

16867

Issue Date

2013-07-01

Receive Date

2013-03-21

Publish Date

2013-07-01

Page Start

1,581

Page End

1,594

Print ISSN

1687-0530

Online ISSN

2356-8550

Article File

JESAUN_Volume 41_Issue No 4_Pages 1581-1594.pdf

PDF . 367.0kB

Link

https://jesaun.journals.ekb.eg/article_114882.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=114882

Order

14

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

PRIVACY-PRESERVING DATA MINING OF DISTRIBUTED DATABASES USING NAÏVE BAYES CLASSIFIER

Details

Type

Article

Created At

23 Jan 2023