Title :
Protocol for Privacy-Preserving Set Pattern Matching
Author :
Zheng Qiang ; Luo Shou-shan ; Xin Yang ; Yang, Xin
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Motivated by the demand of databases outsourcing and its security concerns, privacy-preserving set operations have been a research hotspot in distributed scenario. By combining Shamir secret sharing scheme and homomorphic encryption, we propose a protocol for privacy-preserving set pattern matching, this protocol constructed in this paper is provably secure against a semi-honest adversary under the decisional Diffie-Hellman assumption. This is the first specific protocol for privacy-preserving set pattern matching in the cryptographic model at present.
Keywords :
cryptographic protocols; data privacy; decision theory; pattern matching; Shamir secret sharing scheme; cryptographic model; databases outsourcing; decisional Diffie-Hellman assumption; distributed scenario; homomorphic encryption; privacy-preserving set pattern matching; protocol; security concerns; semihonest adversary; Computational modeling; Cryptographic protocols; Cryptography; Data security; Information security; Laboratories; National security; Pattern matching; Polynomials; Testing; Shamir secret; privacy-preserving; secure multi-party computation; set pattern matching;
Conference_Titel :
Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3843-3
Electronic_ISBN :
978-1-4244-5068-8
DOI :
10.1109/MINES.2009.90