2009•Yunchou yu guanliRequires access

Secure Algorithm of Linear Regression under Private Information Protection

Ping Wang

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Abstract

The cooperative statistical analysis on data sets of various enterprises is often done during enterprises' cooperation.In certain circumstances,since the data may involve private information,enterprises are unwilling to share their data in the absence of data protection,but they are willing to provide the whole characteristics of their data.Based on the thought,with Paillier's homomorphic encryption,enterprises' sensitive data with isomorphic and heterogeneous distributions are computed.Consequently,the collaborative linear regression analysis with enterprises' private information protection is solved.

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What this paper is about

The cooperative statistical analysis on data sets of various enterprises is often done during enterprises' cooperation.In certain circumstances,since the data may involve private information,enterprises are unwilling to share their data in the absence of data protection,but they are willing to provide the whole characteristics of their data.Based on the thought,with Paillier's homomorphic encryption,enterprises' sensitive data with isomorphic and heterogeneous distributions are computed.Consequently,the collaborative linear regression analysis with enterprises' private information protection is solved.

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Available abstract

The cooperative statistical analysis on data sets of various enterprises is often done during enterprises' cooperation.In certain circumstances,since the data may involve private information,enterprises are unwilling to share their data in the absence of data protection,but they are willing to provide the whole characteristics of their data.Based on the thought,with Paillier's homomorphic encryption,enterprises' sensitive data with isomorphic and heterogeneous distributions are computed.Consequently,the collaborative linear regression analysis with enterprises' private information protection is solved.

Key concepts: Homomorphic encryption, Computer science, Private information retrieval, Linear regression, Regression analysis, Encryption, Paillier cryptosystem, Business

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