Enhancing Speech Privacy through Dynamic Chaos- Driven Scrambling with Nested Segmentation

Author:

MERRAD Ahmed1,NOURI Abdelkader Nabil1

Affiliation:

1. Ziane Achour University of Djelfa (UZAD)

Abstract

Abstract

Designing speech cryptosystems presents huge challenges. This paper introduces a novel speech scrambling approach that leverages the strength of two chaotic maps and nested segments. Initially, the process of the scrambling determines the starting point of each segment after diverse parameters are provided, such as the starting point of the first piece and the length of each segment. Then, based on a rearranged chaotic signal generated by the Tent map, the process commences permuting the samples of the nested segments with a specific order that determined according to another rearranged chaotic signal created using the Logistic map. In order to allow the possibility of permuting the samples beyond their initial segment, the process of scrambling iterates throughout the whole signal several times, using a supplied key. The achieved outcomes shows the efficiency of the planned method, as SNR values can reach − 3 and infinity in scrambling and unscrambling operations, respectively, as well, the waveforms vividly depict the flawless diffusion of the samples across the length of the signal.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3