On Pseudo-random Number Generation Using Elliptic Curve Cryptography

2013 ◽  
pp. 77-89 ◽  
Author(s):  
Manali Dubal ◽  
Aaradhana Deshmukh
Keyword(s):  
Elliptic Curve ◽  
Elliptic Curve Cryptography ◽  
Random Number ◽  
Random Number Generation ◽  
Number Generation ◽  
Pseudo Random Number

Pseudo-random number generation using a 3-state cellular automaton

2017 ◽  
Vol 28 (06) ◽  
pp. 1750078 ◽  
Author(s):  
Kamalika Bhattacharjee ◽  
Dipanjyoti Paul ◽  
Sukanta Das
Keyword(s):  
Cellular Automaton ◽  
Random Number ◽  
Random Number Generator ◽  
Random Number Generation ◽  
Number Generator ◽  
Number Generation ◽  
Pseudo Random Number ◽  
Empirical Tests ◽  
Pseudo Random Number Generator

This paper investigates the potentiality of pseudo-random number generation of a 3-neighborhood 3-state cellular automaton (CA) under periodic boundary condition. Theoretical and empirical tests are performed on the numbers, generated by the CA, to observe the quality of it as pseudo-random number generator (PRNG). We analyze the strength and weakness of the proposed PRNG and conclude that the selected CA is a good random number generator.

On a decentralized trustless pseudo-random number generation algorithm

2017 ◽  
Vol 11 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Serguei Popov
Keyword(s):  
High Probability ◽  
Random Number ◽  
Random Number Generation ◽  
Third Parties ◽  
Generation Algorithm ◽  
Large Group ◽  
Number Generation ◽  
Pseudo Random Number

AbstractWe construct an algorithm that permits a large group of individuals to reach consensus on a random number, without having to rely on any third parties. The algorithm works with high probability if there are less than 50 of colluding parties in the group. We describe also some modifications and generalizations of the algorithm.

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