Microcontroller-based Random Number Generator Implementation by Using Chaotic Maps
نویسندگان
چکیده
منابع مشابه
A Random Bit Generator Using Chaotic Maps
Chaotic systems have many interesting features such as sensitivity on initial condition and system parameter, ergodicity and mixing properties. In this paper, we exploit these interesting properties of chaotic systems to design a random bit generator, called CCCBG, in which two chaotic systems are cross-coupled with each other. To evaluate the randomness of the bit streams generated by the CCCB...
متن کاملA Pseudo-Random Bit Generator Using Three Chaotic Logistic Maps
A novel pseudo-random bit generator (PRBG) using three chaotic logistic maps is proposed. The algorithm generates at each iteration sequences of 32 bit-blocks by starting from randomly chosen initial seeds. The impact of relying on IEEE 754-2008 floating-point representation format for the generator is also taken into account. The performance of the generator is evaluated through various statis...
متن کاملA Very Efficient Pseudo-Random Number Generator Based On Chaotic Maps and S-Box Tables
Generating random numbers are mainly used to create secret keys or random sequences. It can be carried out by various techniques. In this paper we present a very simple and efficient pseudo random number generator (PRNG) based on chaotic maps and S-Box tables. This technique adopted two main operations one to generate chaotic values using two logistic maps and the second to transform them into ...
متن کاملA New Pseudo-Random Number Generator Based on Two Chaotic Maps
A new pseudo-random number generator (PRNG) is proposed. The principle of the method consists in mixing chaotic maps produced from an input initial vector. The algorithm uses permutations whose positions are computed and indexed by a chaotic function based on linear congruences. The performance of this scheme is evaluated through statistical analysis. Such a cryptosystem lets appear significant...
متن کاملTrident, a New Pseudo Random Number Generator Based on Coupled Chaotic Maps
This article describes a new family of cryptographically secure pseudorandom number generators, based on coupled chaotic maps, that will serve as keystream in a stream cipher. The maps are a modification of a piecewise linear map, by dynamic changing of the coefficient values and perturbing its lesser significant bits.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sakarya University Journal of Science
سال: 2020
ISSN: 1301-4048
DOI: 10.16984/saufenbilder.727449