Open AccessSecure and privacy‐preserving pattern matching in outsourced computing
Author(s) -
Li Dongmei,
Dong Xiaolei,
Cao Zhenfu
Publication year - 2016
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0122
pISSN - 1939-0114
DOI - 10.1002/sec.1552
Subject(s) - computer science , computer security , matching (statistics) , internet privacy , mathematics , statistics
Nowaday, secure cloud computation has become more and more attractive. We propose a protocol for privacy‐preserving pattern matching. Then, we prove that the construction is simulation‐based secure in the semi‐honest setting. Finally, the efficiency analysis shows our scheme outperforms the previous works. Specially, compared with Fast' protocol our scheme is more efficient and the text owner does not need real‐time online in the query phase. Thus, this protocol is flexible to query by light weight equipments such as mobile phones. Copyright © 2016 John Wiley & Sons, Ltd.