A Novel Pseudo-Random Number Generator Based on Linear Feedback Shift Register and Its Security Analysis

2021 ◽  
Author(s):  
Yelai Feng ◽  
Huaixi Wang ◽  
Hongyi Lu ◽  
Nina Shu
Keyword(s):  
Random Number ◽  
Random Number Generator ◽  
Security Analysis ◽  
Shift Register ◽  
Linear Feedback Shift Register ◽  
Linear Feedback ◽  
Number Generator ◽  
Pseudo Random Number ◽  
Feedback Shift Register ◽  
Pseudo 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 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.

Fuzzy Based Pseudo Random Number Generator used for Wireless Networks

2013 ◽  
Vol 16 (2) ◽  
pp. 210-216 ◽  
Author(s):  
Sattar B. Sadkhan ◽  
◽  
Sawsan K. Thamer ◽  
Najwan A. Hassan ◽  
◽  
...  
Keyword(s):  
Wireless Networks ◽  
Random Number ◽  
Random Number Generator ◽  
Number Generator ◽  
Pseudo Random Number ◽  
Pseudo Random Number Generator

scholarly journals A Hardware Pseudo-Random Number Generator Using Stochastic Computing and Logistic Map

Micromachines ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 31
Author(s):  
Junxiu Liu ◽  
Zhewei Liang ◽  
Yuling Luo ◽  
Lvchen Cao ◽  
Shunsheng Zhang ◽  
...  
Keyword(s):  
Random Number ◽  
Chaotic Map ◽  
Logistic Map ◽  
Random Number Generator ◽  
Alternative Methods ◽  
Random Numbers ◽  
Number Generator ◽  
Stochastic Computing ◽  
Pseudo Random Number ◽  
Pseudo Random Number Generator

Recent research showed that the chaotic maps are considered as alternative methods for generating pseudo-random numbers, and various approaches have been proposed for the corresponding hardware implementations. In this work, an efficient hardware pseudo-random number generator (PRNG) is proposed, where the one-dimensional logistic map is optimised by using the perturbation operation which effectively reduces the degradation of digital chaos. By employing stochastic computing, a hardware PRNG is designed with relatively low hardware utilisation. The proposed hardware PRNG is implemented by using a Field Programmable Gate Array device. Results show that the chaotic map achieves good security performance by using the perturbation operations and the generated pseudo-random numbers pass the TestU01 test and the NIST SP 800-22 test. Most importantly, it also saves 89% of hardware resources compared to conventional approaches.

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