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 :
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