Parallelization of a Block Cipher Based on Chaotic Neural Networks

被引：3

作者：

Burak, Dariusz ^{[1
]}

机构：

[1] West Pomeranian Univ Technol, Fac Comp Sci & Informat Technol, PL-71210 Szczecin, Poland

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II (ICAISC 2015) | 2015年 / 9120卷

关键词：

Neural network; Chaos; Encryption algorithm; Parallelization; OpenMP; ENCRYPTION SCHEME; ALGORITHM;

D O I：

10.1007/978-3-319-19369-4_18

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper the results of parallelizing a block cipher based on chaotic neural networks are presented. A data dependence analysis of loops is applied in order to parallelize the algorithm. The parallelism of the algorithm is demonstrated in accordance with the OpenMP standard. As a result of this study, it is stated that the most time-consuming loops of the algorithm are suitable for parallelization. The efficiency measurements of a parallel algorithm working in standard modes of operation are shown.

引用

页码：191 / 201

页数：11

共 20 条

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