Detect repackaged Android applications by using representative graphs

N. Cam, Nghi Hoang Khoa, Thieu Thai An, Nguyen Phan Bach, V. Pham
{"title":"Detect repackaged Android applications by using representative graphs","authors":"N. Cam, Nghi Hoang Khoa, Thieu Thai An, Nguyen Phan Bach, V. Pham","doi":"10.1109/NICS54270.2021.9701544","DOIUrl":null,"url":null,"abstract":"In recent years, the development of smartphones, as well as mobile applications, has not stopped accelerating. Almost everyone has at least one smartphone. However, that development has also increased forms of attacks on mobile devices, especially application repackaging. Attackers can easily repackage an app under their own name or embed ads for profit. They can also modify a popular application and insert malicious code into it to create a repackaged app and take advantage of the popularity of the original application to accelerate the malware’s propagation. In particular, with the popularity of paid applications on smartphones and many applications being restricted to release in countries, the demand for applications from other non-mainstream sources has also increased. In this study, we propose a system named uitRAAD that can be used to detect repackaged Android applications using representative graphs. The experimental results show that the proposed approach has the potential effectiveness.","PeriodicalId":296963,"journal":{"name":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NICS54270.2021.9701544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In recent years, the development of smartphones, as well as mobile applications, has not stopped accelerating. Almost everyone has at least one smartphone. However, that development has also increased forms of attacks on mobile devices, especially application repackaging. Attackers can easily repackage an app under their own name or embed ads for profit. They can also modify a popular application and insert malicious code into it to create a repackaged app and take advantage of the popularity of the original application to accelerate the malware’s propagation. In particular, with the popularity of paid applications on smartphones and many applications being restricted to release in countries, the demand for applications from other non-mainstream sources has also increased. In this study, we propose a system named uitRAAD that can be used to detect repackaged Android applications using representative graphs. The experimental results show that the proposed approach has the potential effectiveness.
通过使用代表性图形检测重新打包的Android应用程序
近年来,智能手机和移动应用程序的发展一直在加速。几乎每个人都至少有一部智能手机。然而,这种发展也增加了针对移动设备的攻击形式,尤其是应用程序重新包装。攻击者可以很容易地以自己的名义重新包装应用程序或嵌入广告以获取利润。他们还可以修改一个流行的应用程序,并将恶意代码插入其中,以创建一个重新打包的应用程序,并利用原始应用程序的流行来加速恶意软件的传播。特别是,随着付费应用在智能手机上的普及,以及许多应用被限制在国家发布,对其他非主流来源的应用的需求也在增加。在这项研究中,我们提出了一个名为uitRAAD的系统,可以使用代表性图来检测重新包装的Android应用程序。实验结果表明,该方法具有潜在的有效性。
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:481959085
Book学术官方微信