Practical Improvement in the Implementation of Two Avalanche Tests to Measure Statistical Independence in Stream Ciphers

Author:

Madarro-Capó Evaristo José1ORCID,Ramos Piñón Eziel Christians1ORCID,Sosa-Gómez Guillermo2ORCID,Rojas Omar2ORCID

Affiliation:

1. Instituto de Criptografía, Facultad de Matemática y Computación, Universidad de la Habana, Habana 10400, Cuba

2. Facultad de Ciencias Económicas y Empresariales, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, Mexico

Abstract

This study describes the implementation of two algorithms in a parallel environment. These algorithms correspond to two statistical tests based on the bit’s independence criterion and the strict avalanche criterion. They are utilized to measure avalanche properties in stream ciphers. These criteria allow for the statistical independence between the outputs and the internal state of a bit-level cipher to be determined. Both tests require extensive input parameters to assess the performance of current stream ciphers, leading to longer execution times. The presented implementation significantly reduces the execution time of both tests, making them suitable for evaluating ciphers in practical applications. The evaluation results compare the performance of the RC4 and HC256 stream ciphers in both sequential and parallel environments.

Publisher

MDPI AG

Reference48 articles.

1. Venčkauskas, A., Morkevicius, N., Bagdonas, K., Damaševičius, R., and Maskeliūnas, R. (2018). A lightweight protocol for secure video streaming. Sensors, 18.

2. Performance and Statistical Analysis of Stream ciphers in GSM Communications;Yerukala;J. Commun. Softw. Syst.,2020

3. Comparative study on IoT technologies-short & long range;Kaushik;Int. J. Eng. Trends Technol.,2020

4. Hybrid Cryptographic Algorithm for LTE DataConfidentiality;Mohammed;Int. J. Eng. Res. Technol. (IJERT),2016

5. Comparative Study of Vulnerabilities in Lte Cryptographic Algorithm;Fatma;Univ. Res. Symp.,2018

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