Title : 
Algorithm for distributed traffic traces AGGREGATION based on SMC
         
        
            Author : 
Hao Wang ; Yujie Su ; Xiaohong Huang ; Pei Zhang
         
        
            Author_Institution : 
Network & Inf. Center, Beijing Univ. of Posts & Telecommun., Beijing, China
         
        
        
            fDate : 
Oct. 30 2012-Nov. 1 2012
         
        
        
        
            Abstract : 
In order to achieve secure data aggregation without exposing the data privacy of data providers, a distributed Top-k aggregation query method is proposed in this paper based on the Privacy-preserving. The center node in this algorithm will firstly do privacy protection processing for data objects from the list provided by participants. Then, it will use secure multiparty computation operations to do privacy protection for each list of data objects based on the three-stage threshold algorithm. In this way, the data objects provided by participants can be protected; meanwhile, the Top-k query results can be accessed quickly and accurately.
         
        
            Keywords : 
data privacy; query processing; SMC; data objects; data privacy; data providers; distributed Top-k aggregation query method; distributed traffic traces aggregation algorithm; privacy protection processing; privacy-preserving method; secure data aggregation; secure multiparty computation operations; three-stage threshold algorithm; Algorithm design and analysis; Collaboration; Cryptography; Data privacy; Distributed databases; Educational institutions; Protocols; Network measurement; Secure multiparty computation; Top-K;
         
        
        
        
            Conference_Titel : 
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
         
        
            Conference_Location : 
Hangzhou
         
        
            Print_ISBN : 
978-1-4673-1855-6
         
        
        
            DOI : 
10.1109/CCIS.2012.6664281