利用几何级数的恶意软件传播的综合研究

S. Tripathy, Sisira Kumar Kapat, R. Patro, Susant Kumar Das
{"title":"利用几何级数的恶意软件传播的综合研究","authors":"S. Tripathy, Sisira Kumar Kapat, R. Patro, Susant Kumar Das","doi":"10.1109/CINE.2017.31","DOIUrl":null,"url":null,"abstract":"This paper focuses to present malware propagation mathematically and it also shows how the population of malware grows in a well-defined ultra-large sized network. The propagation refers to entry of a malware to a system as well as copying malware from one device to another in networked environment. We assumed the network to be SNS. We have also discussed the closure properties used by malware while propagation. The properties are quite useful to detect and avoid malware. We have calculated the number of infected system in a geometrically progressed system without defense and modified the equation to calculate the number of infected system for practical network.","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comprehensive Study of Malware Propagation Using Geometric Progression\",\"authors\":\"S. Tripathy, Sisira Kumar Kapat, R. Patro, Susant Kumar Das\",\"doi\":\"10.1109/CINE.2017.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses to present malware propagation mathematically and it also shows how the population of malware grows in a well-defined ultra-large sized network. The propagation refers to entry of a malware to a system as well as copying malware from one device to another in networked environment. We assumed the network to be SNS. We have also discussed the closure properties used by malware while propagation. The properties are quite useful to detect and avoid malware. We have calculated the number of infected system in a geometrically progressed system without defense and modified the equation to calculate the number of infected system for practical network.\",\"PeriodicalId\":236972,\"journal\":{\"name\":\"2017 3rd International Conference on Computational Intelligence and Networks (CINE)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 3rd International Conference on Computational Intelligence and Networks (CINE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINE.2017.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINE.2017.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文着重从数学上描述了恶意软件的传播,并展示了恶意软件在一个定义明确的超大规模网络中的增长情况。传播是指恶意软件进入系统,以及在网络环境中将恶意软件从一台设备复制到另一台设备。我们假设网络是SNS。我们还讨论了恶意软件在传播时使用的闭包属性。这些属性对于检测和避免恶意软件非常有用。我们计算了无防御的几何进展系统的感染系统数,并将方程修正为实际网络的感染系统数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Comprehensive Study of Malware Propagation Using Geometric Progression
This paper focuses to present malware propagation mathematically and it also shows how the population of malware grows in a well-defined ultra-large sized network. The propagation refers to entry of a malware to a system as well as copying malware from one device to another in networked environment. We assumed the network to be SNS. We have also discussed the closure properties used by malware while propagation. The properties are quite useful to detect and avoid malware. We have calculated the number of infected system in a geometrically progressed system without defense and modified the equation to calculate the number of infected system for practical network.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Building Occupancy Detection Using Feed Forward Back-Propagation Neural Networks Stock Prediction Using Functional Link Artificial Neural Network (FLANN) Symmetric Axis Based Off-Line Odia Handwritten Character and Numeral Recognition Artificial Intelligence Techniques Used to Detect Object and Face in an Image: A Review Application of JAYA Algorithm to Tune Fuzzy-PIDF Controller for Automatic Generation Control
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1