利用GM(1,1)网格平滑模型构建安全网络通信系统

IF 1 4区 工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Grey System Pub Date : 2004-12-01 DOI:10.30016/JGS.200412.0002
Yi-Fung Huang, Kun-Li Wen
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引用次数: 1

摘要

本文将Diffie和Hellman提出的公钥密码系统与灰色系统理论中基于GM(1,1)模型的无限生成密钥相结合,建立GM(1,1)网格平滑模型,构建安全的网络通信系统。整个数学概念是用有限的原始码创建一个无限变量的码序列,并从已知的秘钥中得到编码。在本文中,我们定义了两个参数:密码序列ψ和3(上标rd)阶对称群S3,并给出了6个密码模型来贡献我们的系统。根据实际案例的实现,公共系统的秘密值高达0(方程式略),以现有的计算能力很难计算出密码序列。因此,用数学公式来破解这一体系在当今是行不通的。此外,为了提高效率,我们还开发了一个工具箱,它不仅可以减少计算时间,还可以检验系统的可靠性。
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Using GM(1, 1) Meshsmooth Model to Construct Secure Network Communication System
In this paper, we combined the public key cryptograph system proposed by Diffie and Hellman, with the infinite generation keys based on GM(1, 1) model , which in grey system theory, to establish the GM(1, 1) meshsmooth model to construct secure network communication system. The whole mathematics concept is used finite original code to create an infinite variables code sequence, and got the code from the known secrete key. In this paper, we define two parameters: cryptography sequence ψ and 3(superscript rd) order symmetric group S3 and presented six cryptography models to contribute our system. According to the implement of real case, the secrete value is high to O(The equation is abbreviated) for public system, and it is hard to calculate the code sequence by the present computing ability. Therefore, to break into this system by mathematical formula is no way nowadays. Besides, to promote the efficiency, we also develop a toolbox, it can not only to decrease the calculation time, but also examine the reliability of our system.
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来源期刊
Journal of Grey System
Journal of Grey System 数学-数学跨学科应用
CiteScore
2.40
自引率
43.80%
发文量
0
审稿时长
1.5 months
期刊介绍: The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows: Grey mathematics- Generator of Grey Sequences- Grey Incidence Analysis Models- Grey Clustering Evaluation Models- Grey Prediction Models- Grey Decision Making Models- Grey Programming Models- Grey Input and Output Models- Grey Control- Grey Game- Practical Applications.
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