System Call Dependence Graph Based Behavior Decomposition of Android Applications

Bin Zhao
{"title":"System Call Dependence Graph Based Behavior Decomposition of Android Applications","authors":"Bin Zhao","doi":"10.5121/IJNSA.2019.11403","DOIUrl":null,"url":null,"abstract":"Millions of developers and third-party organizations have flooded into the Android ecosystem due to Android’s open-source feature and low barriers to entry for developers. .However, that also attracts many attackers. Over 90 percent of mobile malware is found targeted on Android. Though Android provides multiple security features and layers to protect user data and system resources, there are still some overprivileged applications in Google Play Store or third-party Android app stores at wild. In this paper, we proposed an approach to map system level behavior and Android APIs, based on the observation that system level behaviors cannot be avoidedbut sensitive Android APIs could be evaded.To the best of our knowledge, our approach provides the first work to decompose Android application behaviors based on system-level behaviors. We then map system level behaviors and Android APIs through System Call Dependence Graphs. The study also shows that our approach can effectively identify potential permission abusing, with an almost negligible performance impact.","PeriodicalId":93303,"journal":{"name":"International journal of network security & its applications","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of network security & its applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJNSA.2019.11403","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

Millions of developers and third-party organizations have flooded into the Android ecosystem due to Android’s open-source feature and low barriers to entry for developers. .However, that also attracts many attackers. Over 90 percent of mobile malware is found targeted on Android. Though Android provides multiple security features and layers to protect user data and system resources, there are still some overprivileged applications in Google Play Store or third-party Android app stores at wild. In this paper, we proposed an approach to map system level behavior and Android APIs, based on the observation that system level behaviors cannot be avoidedbut sensitive Android APIs could be evaded.To the best of our knowledge, our approach provides the first work to decompose Android application behaviors based on system-level behaviors. We then map system level behaviors and Android APIs through System Call Dependence Graphs. The study also shows that our approach can effectively identify potential permission abusing, with an almost negligible performance impact.
基于系统调用依赖图的Android应用程序行为分解
由于Android的开源特性和较低的准入门槛,数以百万计的开发者和第三方组织涌入了Android生态系统,但这也吸引了许多攻击者。超过90%的手机恶意软件都是针对Android的。尽管Android提供了多种安全功能和层来保护用户数据和系统资源,但在Google Play Store或第三方Android应用商店中仍然存在一些过度特权的应用程序。在本文中,我们提出了一种映射系统级行为和Android api的方法,基于观察到系统级行为无法避免,而敏感的Android api可以逃避。据我们所知,我们的方法提供了基于系统级行为分解Android应用程序行为的第一个工作。然后,我们通过系统调用依赖图映射系统级行为和Android api。研究还表明,我们的方法可以有效地识别潜在的权限滥用,而对性能的影响几乎可以忽略不计。
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