Identity Based Private Matching

Author

Wu, Zhongsheng ; Chen, Zhide ; Guo, Fuchun ; Xu, Li

Author_Institution

Fujian Normal Univ., Fuzhou

fYear

2007

fDate

19-19 July 2007

Firstpage

85

Lastpage

90

Abstract

There is an increasing need for privately matching data across autonomous entities. Practical private matching applications often require respecting privacy limits and enforcing correctness simultaneously. However, existing schemes have substantial weakness and do not meet the requirement. In this paper, we propose a new private matching scheme based on bilinear paring in a public key system: Identity Based Private Matching (IBPM). Our scheme guarantees the privacy of users. We also address the spoofing problem by the use of Data Ownership Parameters (DOP) that can attest to the ownership of data in a database.

Keywords

data privacy; distributed databases; public key cryptography; security of data; data ownership parameter; distributed database; encryption; identity based private matching; public key system; spoofing problem; Companies; Cryptography; Data privacy; Data security; Databases; Information retrieval; Information security; Laboratories; Protection; Protocols;

fLanguage

English

Publisher

ieee

Conference_Titel

Security, Privacy and Trust in Pervasive and Ubiquitous Computing, 2007. SECPerU 2007. Third International Workshop on

Conference_Location

Istanbul

Print_ISBN

0-7695-2863-5

Type

conf

DOI

10.1109/SECPERU.2007.6

Filename

4279776