Apparecium: Revealing Data Flows in Android Applications

Dennis Titze, J. Schütte
{"title":"Apparecium: Revealing Data Flows in Android Applications","authors":"Dennis Titze, J. Schütte","doi":"10.1109/AINA.2015.239","DOIUrl":null,"url":null,"abstract":"With Android applications processing not only personal but also business-critical data, efficient and precise data flow analysis has become a major technique to detect apps handling critical data in unwanted ways. Although data flow analysis in general is a thoroughly researched topic, the event-driven lifecycle model of Android has its own challenges and practical application requires for reliable and efficient analysis techniques. In this paper we present Apparecium, a tool to reveal data flows in Android applications. Apparecium has conceptual differences to other techniques, and can be used to find arbitrary data flows inside Android applications. Details about the used techniques and the differences to existing data flow analysis tools are presented, as well as an evaluation against the data flow analysis framework Flow Droid.","PeriodicalId":6845,"journal":{"name":"2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops","volume":"36 1","pages":"579-586"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AINA.2015.239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

With Android applications processing not only personal but also business-critical data, efficient and precise data flow analysis has become a major technique to detect apps handling critical data in unwanted ways. Although data flow analysis in general is a thoroughly researched topic, the event-driven lifecycle model of Android has its own challenges and practical application requires for reliable and efficient analysis techniques. In this paper we present Apparecium, a tool to reveal data flows in Android applications. Apparecium has conceptual differences to other techniques, and can be used to find arbitrary data flows inside Android applications. Details about the used techniques and the differences to existing data flow analysis tools are presented, as well as an evaluation against the data flow analysis framework Flow Droid.
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
Apparecium:揭示Android应用程序中的数据流
由于Android应用程序不仅处理个人数据,还处理关键业务数据,高效和精确的数据流分析已成为检测应用程序以不希望的方式处理关键数据的主要技术。虽然数据流分析总体上是一个被深入研究的课题,但Android的事件驱动生命周期模型有其自身的挑战,实际应用需要可靠、高效的分析技术。在本文中,我们介绍了Apparecium,一个揭示Android应用程序中的数据流的工具。Apparecium与其他技术在概念上有所不同,可用于在Android应用程序中查找任意数据流。详细介绍了所使用的技术以及与现有数据流分析工具的区别,并对数据流分析框架flow Droid进行了评估。
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
Performance Analysis of WMN-GA Simulation System for Different WMN Architectures Considering OLSR A Network Topology Visualization System Based on Mobile AR Technology A Framework for Security Services Based on Software-Defined Networking Extended Lifetime Based Elliptical Sink-Mobility in Depth Based Routing Protocol for UWSNs A Proposal and Implementation of an ID Federation that Conceals a Web Service from an Authentication Server
×
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