Information Security and Computer Fraud
ISSN (Print): 2376-9602 ISSN (Online): 2376-9629 Website: http://www.sciepub.com/journal/iscf Editor-in-chief: Sergii Kavun
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Information Security and Computer Fraud. 2014, 2(3), 39-47
DOI: 10.12691/iscf-2-3-2
Open AccessArticle

Linear Mix-net and a Scheme for Collecting Data from Anonymous Data Holders

Shinsuke Tamura1, and Shuji Taniguchi1

1School of Engineering, University of Fukui, Fukui, Japan

Pub. Date: November 04, 2014

Cite this paper:
Shinsuke Tamura and Shuji Taniguchi. Linear Mix-net and a Scheme for Collecting Data from Anonymous Data Holders. Information Security and Computer Fraud. 2014; 2(3):39-47. doi: 10.12691/iscf-2-3-2

Abstract

To make e-society, e-governance and cloud computing systems be utilized more widely, this paper proposes a scheme to collect attribute values belong to same data holders and calculate functions of them without knowing correspondences between the attribute values and their holders or links among attribute values of same holders. Different from most of other schemes the proposed scheme is based on linear Mix-net that exploits secret key encryption functions such as linear equation based (LE-based) and multidimensional array based (MA-based) ones, therefore it can handle real numbers that appear in many important business and engineering applications efficiently in the same way as integers. In addition, anonymous tag based credentials used in the scheme ensure the correctness of calculation results. Although the scheme can calculate only linear combinations of attribute values when LE-based encryption functions are used, if they are replaced with MA-based ones, it can calculate also general polynomial functions of attribute values.

Keywords:
E-society E-governance cloud computing privacy homomorphic encryption functions anonymous tag based credentials

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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