Matrix Representation of Virus Machines and an Application to the Discrete Logarithm Problem.

IF 6.4
International journal of neural systems Pub Date : 2025-11-01 Epub Date: 2025-08-18 DOI:10.1142/S0129065725500492
Antonio Ramírez-de-Arellano, David Orellana-Martín, Mario J Pérez-Jiménez, Francis George C Cabarle, Henry N Adorna
{"title":"Matrix Representation of Virus Machines and an Application to the Discrete Logarithm Problem.","authors":"Antonio Ramírez-de-Arellano, David Orellana-Martín, Mario J Pérez-Jiménez, Francis George C Cabarle, Henry N Adorna","doi":"10.1142/S0129065725500492","DOIUrl":null,"url":null,"abstract":"<p><p>Virus machines, which develop models of computation inspired by biological processes and the spread of viruses among hosts, deviate from the traditional methods. These virus machines are recognized for their computational power (functioning as algorithms) and their ability to tackle computationally difficult problems. In this paper, we introduce a new extension of the matrix-based representation of virus machines. In this way, hosts, the number of viruses and the instructions to control virus transmission are represented as vectors and matrices, describing the computations of virus machines by linear algebra operations. We also use our matrix representation to show invariants, useful in the proofs, of such machines. In addition, an explicit example is shown to clarify the computation and invariants using the representation. That is, a virus machine that computes the discrete logarithm, which relies on the presumed intractability of cryptosystems such the digital signature algorithm.</p>","PeriodicalId":94052,"journal":{"name":"International journal of neural systems","volume":" ","pages":"2550049"},"PeriodicalIF":6.4000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of neural systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0129065725500492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/18 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Virus machines, which develop models of computation inspired by biological processes and the spread of viruses among hosts, deviate from the traditional methods. These virus machines are recognized for their computational power (functioning as algorithms) and their ability to tackle computationally difficult problems. In this paper, we introduce a new extension of the matrix-based representation of virus machines. In this way, hosts, the number of viruses and the instructions to control virus transmission are represented as vectors and matrices, describing the computations of virus machines by linear algebra operations. We also use our matrix representation to show invariants, useful in the proofs, of such machines. In addition, an explicit example is shown to clarify the computation and invariants using the representation. That is, a virus machine that computes the discrete logarithm, which relies on the presumed intractability of cryptosystems such the digital signature algorithm.

病毒机的矩阵表示及其在离散对数问题中的应用。
受生物过程和病毒在宿主之间传播的启发,病毒机器开发了计算模型,与传统方法有所不同。这些病毒机器因其计算能力(作为算法运行)和解决计算难题的能力而得到认可。本文引入了基于矩阵的病毒机表示的一种新扩展。这样,主机、病毒数量和控制病毒传播的指令被表示为向量和矩阵,用线性代数运算来描述病毒机的计算。我们也用我们的矩阵表示来表示不变量,这在这些机器的证明中很有用。此外,给出了一个明确的例子来说明使用该表示的计算和不变量。也就是说,一个计算离散对数的病毒机器,它依赖于数字签名算法等密码系统的假定难解性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信