Analysis of USB Based Spying Method Using Arduino and Metasploit Framework in Windows Operating System

Ferryansa, Avon Budiono, A. Almaarif
{"title":"Analysis of USB Based Spying Method Using Arduino and Metasploit Framework in Windows Operating System","authors":"Ferryansa, Avon Budiono, A. Almaarif","doi":"10.1109/IC2IE50715.2020.9274643","DOIUrl":null,"url":null,"abstract":"The use of a very wide windows operating system is undeniably also followed by increasing attacks on the operating system. Universal Serial Bus (USB) is one of the mechanisms used by many people with plug and play functionality that is very easy to use, making data transfers fast and easy compared to other hardware. Some research shows that the Windows operating system has weaknesses so that it is often exploited by using various attacks and malware. There are various methods used to exploit the Windows operating system, one of them by using a USB device. By using a USB device, a criminal can plant a backdoor reverse shell to exploit the victim’s computer just by connecting the USB device to the victim’s computer without being noticed. This research was conducted by planting a reverse shell backdoor through a USB device to exploit the victim’s device, especially the webcam and microphone device on the target computer. From 35 experiments that have been carried out, it was found that 83% of spying attacks using USB devices on the Windows operating system were successfully carried out.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC2IE50715.2020.9274643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The use of a very wide windows operating system is undeniably also followed by increasing attacks on the operating system. Universal Serial Bus (USB) is one of the mechanisms used by many people with plug and play functionality that is very easy to use, making data transfers fast and easy compared to other hardware. Some research shows that the Windows operating system has weaknesses so that it is often exploited by using various attacks and malware. There are various methods used to exploit the Windows operating system, one of them by using a USB device. By using a USB device, a criminal can plant a backdoor reverse shell to exploit the victim’s computer just by connecting the USB device to the victim’s computer without being noticed. This research was conducted by planting a reverse shell backdoor through a USB device to exploit the victim’s device, especially the webcam and microphone device on the target computer. From 35 experiments that have been carried out, it was found that 83% of spying attacks using USB devices on the Windows operating system were successfully carried out.
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
基于Arduino和Metasploit框架在Windows操作系统下基于USB的间谍方法分析
不可否认的是,随着windows操作系统的广泛使用,对该操作系统的攻击也越来越多。通用串行总线(USB)是许多人使用的即插即用功能的机制之一,它非常易于使用,与其他硬件相比,它使数据传输更快、更容易。一些研究表明,Windows操作系统存在弱点,因此经常被各种攻击和恶意软件利用。有多种方法可以利用Windows操作系统,其中一种方法是使用USB设备。通过使用USB设备,犯罪分子可以在不被发现的情况下,通过将USB设备连接到受害者的计算机上,植入后门反向壳来利用受害者的计算机。本研究通过USB设备植入反壳后门,利用受害者的设备,特别是目标计算机上的网络摄像头和麦克风设备进行研究。从已经进行的35次实验中发现,在Windows操作系统上使用USB设备的间谍攻击中,有83%成功实施。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Agile-Based Requirement Challenges of Government Outsourcing Project: A Case Study Investigation of Job Satisfaction and Worker Performance on Digital Business Company IC2IE 2020 Index Wind Speed Forecasting toward El Nino Factors Using Recurrent Neural Networks Thyroid Nodules Stratification Based on Orientation Characteristics Using Machine Learning Approach
×
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