Classification of Pseudo-random Number Generators Applied to Information Security

被引：0
|
作者：
Chugunkov, Ilya V. [1 ]
Ivanov, Michael A. [1 ]
Gridneva, Elena A. [1 ]
Shestakova, Natalia Yu. [1 ]
机构：
[1] Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Dept Comp Syst & Technol, Moscow, Russia
来源：
PROCEEDINGS OF THE 2017 IEEE RUSSIA SECTION YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING CONFERENCE (2017 ELCONRUS) | 2017年
基金：
俄罗斯科学基金会;
关键词：
stochastic transformation; pseudo-random number generator; 2D transformation; 3D transformation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper is devoted to the critical analysis of the pseudo-random number generators (PRNG) classification. The conclusion about the need to review the existing classification is done. It is shown that in addition to the traditional Feistel's Network "Square" and "Cube" must be considered, as well as hybrid architecture using Feistel's Network which round function is realized according to the scheme 2D or 3D. The specified PRNG's classification is proposed. The examples of parallel and consecutive composition using to iterative stochastic data transform creation are given. PNG with random access are also considered.
引用
收藏
页码：370 / 373
页数：4
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