Title : 
Privacy-Preserving Protocols for String Matching
         
        
            Author : 
Luo, Yonglong ; Shi, Lei ; Zhang, Caiyun ; Zhang, Ji
         
        
            Author_Institution : 
Dept. of Comput. Sci., Anhui Normal Univ., Wuhu, China
         
        
        
        
        
        
            Abstract : 
String matching is a basic problem of string operation, and privacy-preserving string matching, as a special case of secure multi-party computation, has broad applications in auction, bidding and some other commercial areas. In this paper, some protocols are proposed to solve this private matching problem, the security and correctness are analyzed respectively, and the actual efficiency is tested by experiment. A protocol is also designed based on the BMH algorithm which is more efficient and conceals more private information.
         
        
            Keywords : 
data privacy; protocols; string matching; BMH algorithm; privacy-preserving protocols; secure multi-party computation; string matching; Complexity theory; Databases; Encryption; Error probability; Pattern matching; Protocols; BMH algorithm; privacy-preserving; secure multi-party computation; string equal; string matching;
         
        
        
        
            Conference_Titel : 
Network and System Security (NSS), 2010 4th International Conference on
         
        
            Conference_Location : 
Melbourne, VIC
         
        
            Print_ISBN : 
978-1-4244-8484-3
         
        
            Electronic_ISBN : 
978-0-7695-4159-4
         
        
        
            DOI : 
10.1109/NSS.2010.24