DocumentCode
2544222
Title
Secure two-party computation of the quadratic function´s extreme minimal value
Author
Fen Wu ; Hong Zhong ; Runhua Shi ; Hongsheng Huang
Author_Institution
Sch. of Comput. Sci. & Technol., Anhui Univ., Hefei, China
fYear
2012
fDate
29-31 May 2012
Firstpage
2975
Lastpage
2978
Abstract
Privacy-Preserving Computational Geometry (PPCG) is a special Secure Multi-party Computation, which is a hot research in information security. This paper presented a special PPCG problem of secure two-party computing the quadratic function´s extreme minimal value on a secret interval. Based on Paillier´s additive homomorphic and secure comparison protocol, a novel protocol for this problem is proposed. Furthermore, its correctness, security and efficiency are analyzed. The analysis results show that the proposed protocol is much more efficient than current protocol, which can be applied in some military and commercial fields.
Keywords
computational geometry; cryptographic protocols; data privacy; PPCG problem; Paillier additive homomorphic protocol; information security; privacy-preserving computational geometry; quadratic function extreme minimal value; secret interval; secure comparison protocol; secure two-party computation; Additives; Computers; Educational institutions; Encryption; Protocols; Public key; Secure Multi-party Computation; computational geometry; extreme minimal value; privacy-preserving; quadratic function;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6233894
Filename
6233894
Link To Document