Protocol for Privacy-Preserving Set Pattern Matching
Qiang Zheng, Shoushan Luo, Yang Xin, Yixian Yang · 2009
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.