Privacy preserving computation of scalar product and sign of scalar product

Author(s):  
Subrata Bose
Author(s):  
Yogachandran Rahulamathavan ◽  
Safak Dogan ◽  
Xiyu Shi ◽  
Rongxing Lu ◽  
Muttukrishnan Rajarajan ◽  
...  

2022 ◽  
Vol 2 (14) ◽  
pp. 18-25
Author(s):  
Vu Thi Van ◽  
Luong The Dung ◽  
Hoang Van Quan ◽  
Tran Thi Luong

The secure scalar product protocol is widely applied to solve practical problems such as privacy-preserving data mining, secure auction, secure electronic voting, privacy-preserving recommendation system, privacy-preserving statistical data analysis, etc.. In this paper, we propose an efficient multi-party secure computation protocol using Elliptic curve cryptography, which allows to compute the sum value of multi-scalar products without revealing about the input vectors. Moreover, theoretical and experimental analysis shows that the proposed method is more efficient than others in both computation and communication.


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