在GPGPU上实现的一种基于遗传算法的对称密钥加密新方法

IF 1.8 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
K. Srinivasa, G. Siddesh, Srinidhi Hiriyannaiah, Anusha Morappanavar, Anurag Banerjee
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引用次数: 1

摘要

数字通信世界由以互联网为通信骨干的各种应用程序组成。这些应用程序由与应用程序用户相关的数据组成,这些数据是机密的,需要保持完整性,以防止未经授权的访问和使用。在信息隐藏研究领域,密码学是一种广泛用于为互联网应用程序提供安全性的技术,克服了保密性、完整性、身份验证服务等挑战。在本文中,我们提出了一种利用遗传算法在CUDA架构上实现的对称密钥加密技术的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Approach of Symmetric Key Cryptography using Genetic Algorithm Implemented on GPGPU
The world of digital communication consists of various applications which uses internet as the backbone for communication. These applications consist of data related to the users of the application, which is confidential and integrity needs to be maintained to protect against unauthorized access and use. In the information hiding field of research, Cryptography is one of the wide techniques used to provide security to the internet applications that overcome the challenges like confidentiality, integrity, authentication services etc. In this paper, we present a novel approach on symmetric key cryptography technique using genetic algorithm that is implemented on CUDA architecture.
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来源期刊
Cryptography
Cryptography Mathematics-Applied Mathematics
CiteScore
3.80
自引率
6.20%
发文量
53
审稿时长
11 weeks
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