scholarly journals An efficient secure sum of multi-scalar products protocol base on elliptic curve

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.

Author(s):  
Dan Bogdanov ◽  
Liina Kamm ◽  
Sven Laur ◽  
Pille Pruulmann-Vengerfeldt ◽  
Riivo Talviste ◽  
...  

Author(s):  
Yehuda Lindell

The increasing use of data mining tools in both the public and private sectors raises concerns regarding the potentially sensitive nature of much of the data being mined. The utility to be gained from widespread data mining seems to come into direct conflict with an individual’s need and right to privacy. Privacy preserving data mining solutions achieve the somewhat paradoxical property of enabling a data mining algorithm to use data without ever actually “seeing” it. Thus, the benefits of data mining can be enjoyed, without compromising the privacy of concerned individuals.


2021 ◽  
pp. 102634
Author(s):  
S.A. Soleymani ◽  
Sh. Goudarzi ◽  
M.H. Anisi ◽  
M. Khurram Khan ◽  
M.N. Kama ◽  
...  

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