scholarly journals LINEAR FEEDBACK SHIFT REGISTER BASED UNIQUE RANDOM NUMBER GENERATOR

2014 ◽  
pp. 274-279
Author(s):  
HARSH KUMAR VERMA ◽  
RAVINDRA KUMAR SINGH
Keyword(s):  
Random Number ◽  
Random Number Generator ◽  
Point Of View ◽  
Shift Register ◽  
Linear Feedback Shift Register ◽  
Linear Feedback ◽  
Number Generator ◽  
Random Number Generators ◽  
Random Sequences ◽  
Feedback Shift Register

Linear Feedback Shift Register based Unique Random Number Generator is an enhancement of Random Number generator with the additional property that any number generated by a unique random number generator can’t be duplicated. As per users demand for not duplicated random numbers in some applications like transferring a random number over the network on the behalf of actual character of the message for security point of view, existence of unique random number generators are very essential. In this paper LFSR [1] (Linear Feedback Shift Register) is used to implement the proposed concept of unique random number generator. Using LFSR is a faster approach for generating random sequences because it requires only X-OR operations and shift registers that’s why its implementation is very easy in software as well as in hardware [2, 3]. We can easily modify the LFSR and produce different random sequences. So it is the best option for using LFSR in unique random number generator.

scholarly journals Design of Pseudo Random Number Generator using Linear Feedback Shift Register

2019 ◽  
Vol 9 (2) ◽  
pp. 1956-1965 ◽  
Keyword(s):  
Information Technology ◽  
Random Number ◽  
Random Number Generator ◽  
Shift Register ◽  
Linear Feedback Shift Register ◽  
Linear Feedback ◽  
Number Generator ◽  
Cryptographic Algorithms ◽  
Feedback Shift Register ◽  
Pseudo Random Number Generator

Nowadays security has become a great concern in the field of computer science and information technology. In order to protect data from unintended users and to achieve a desirable level of security, several cryptographic algorithms based on various technology have been proposed. Linear Feedback Shift Register (LFSR) may play an important role in the design of such cryptographic algorithms. LFSR based cryptographic algorithms are often lightweight in nature and are more suitable for resource constraining devices. In this paper we present a detailed analysis of LFSR and design of LFSR to implement cryptographic algorithms.

scholarly journals A Pseudorandom Binary Generator Based on Chaotic Linear Feedback Shift Register

2016 ◽  
Vol 12 (2) ◽  
pp. 155-160 ◽  
Author(s):  
Saad Falih
Keyword(s):  
Chaotic Map ◽  
Random Number Generator ◽  
Shift Register ◽  
Linear Feedback Shift Register ◽  
Linear Feedback ◽  
Simple Method ◽  
Sequence Generation ◽  
Feedback Shift Register ◽  
Exclusive Or

This paper presents a simple method for the design of Chaotic Linear Feedback Shift Register (CLFSR) system. The proposed method is based on a combination of two known systems. The first is called Linear Feedback Shift Register (LFSR) system, and the other is called Chaotic Map system. The main principle of the proposed system is that, the output of the LFSR is modified by exclusive-or (XOR) it with the stream bit that is generated by using the chaotic map system to eliminate the linearity and the repeating in the output of the LFSR system. The proposed system is built under Matlab environment and the quality of sequence generation tested by using standard tests which shows that the proposed system is a good random number generator that overcome the linearity and repeating disadvantages.

scholarly journals ERRORS IN MONTE CARLO SIMULATIONS USING SHIFT REGISTER RANDOM NUMBER GENERATORS

1996 ◽  
Vol 06 (06) ◽  
pp. 781-787 ◽  
Author(s):  
F. SCHMID ◽  
N. B. WILDING
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Random Number ◽  
Random Number Generator ◽  
Shift Register ◽  
Magnetization Distribution ◽  
Number Generator ◽  
Random Number Generators ◽  
Single Spin ◽  
System Volume

We report large systematic errors in Monte Carlo simulations of the tricritical Blume–Capel model using single spin Metropolis updating. The error, manifest as a 20% asymmetry in the magnetization distribution, is traced to the interplay between strong triplet correlations in the shift register random number generator and the large tricritical clusters. The effect of these correlations is visible only when the system volume is a multiple of the random number generator lag parameter. No such effects are observed in related models.

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