使用基于广义二维混沌图的混沌交织器设计安全 Turbo 码

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS

AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-08-28 DOI:10.3103/S0146411624700536

Ahmed Sahnoune, Sefouane Chellali, Daoud Berkani, Elhadj Zeraoulia

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引用次数: 0

摘要

摘要在可靠性和实现复杂性之间折中设计交织器是一个具有挑战性的编码设计问题。本文利用一种新颖的广义二维混沌图为安全的涡轮编码设计混沌交织器。与随机交织器相比，所提出的交织器在提高性能的同时降低了实现的复杂性。此外，混沌图的参数可用于从一个混沌图跳转到另一个混沌图，从而提高了抗解码攻击的安全性。拟议的交织器提高了可靠性和物理层安全性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Secure Turbo Codes Design Using Chaotic Interleaver Based on Generalized 2D Chaotic Map

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Secure Turbo Codes Design Using Chaotic Interleaver Based on Generalized 2D Chaotic Map

Design of interleavers with a compromise between reliability and complexity of implementation is a challenging code design problem. This paper deals with the design of chaotic interleavers for secure turbo codes using a novel generalized 2D chaotic map. Compared with random interleavers, the proposed interleavers improve the performances while reducing the complexity of implementation. Furtheremore, parameters of chaotic maps can be used to jump from a map to the other which improve the security against decoding attacks. The proposed interleavers enhance the reliability and physical layer security.

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来源期刊

AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.70

自引率

22.20%

发文量

期刊介绍： Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision