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In order to protect consumer data from attacks in electronic transactions,a practical privacypreserving correlation analysis scheme was proposed. To prevent internal attacks,consumer data were separated into several parts and stored in different servers. The access was controlled to ensure that the unauthorized analyzer could not obtain any results. The homomorphic Paillier cryptosystem was used for the security calculation. To ensuring consumer privacy,the statistical correlation analysis of the big data were implemented. The correctness of the scheme was analyzed,and the computational and communication complexity were also provided,which indicated the scheme could achieve the efficient analysis without revealing consumers' privacy.
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Basic Information:
DOI：10.13705/j.issn.1671-6841.2018335
China Classification Code:D923.8;TP309
Citation Information:
[1]CHEN Wenqian,ZHAO Lan,ZHANG Yiru ,et al.Correlation Analysis on Consumer Privacy-protecting Big-data in Electronic Transaction Systems[J].Journal of Zhengzhou University(Natural Science Edition),2019,51(04):43-48.DOI:10.13705/j.issn.1671-6841.2018335.
Fund Information:
国家自然科学基金项目(61702168,61701173);; 湖北省自然科学基金面上项目(2017CFB596)
2018-12-23
2018
2019-05-10
2019-06-12
2019
1
2019-07-22
2019-07-22
2019-07-22