Title :
A Secure Scheme for Data Statistics
Author :
Huang Hongsheng ; Hong, Zhong ; Runhua, Shi
Author_Institution :
Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
Abstract :
Secure Multi-party Computation (SMC) is a hot point concerning with information security and it is widely used in many fields, such as e-voting, e-auction and e-payment systems et al. This paper mainly discusses a special issue, data statistics, of SMC and its practical application background. Based on the oblivious transfer protocol and the homomorphic encryption scheme, a solution scheme is proposed. Furthermore, the security and the computational complexity of this scheme are as well analyzed. The results of analysis show that the proposed scheme is secure and efficient.
Keywords :
cryptography; data statistics; homomorphic encryption; information security; oblivious transfer protocol; secure multi-party computation; Complexity theory; Computers; Databases; Encryption; Protocols; Homomorphic Encryption; Oblivious Transfer; Secure Multi-party Computation; Statistics;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.329
