TaintDroid

Author:

Enck William1,Gilbert Peter2,Chun Byung-Gon3,Cox Landon P.2,Jung Jaeyeon4,McDaniel Patrick5,Sheth Anmol N.6

Affiliation:

1. North Carolina State University

2. Duke University

3. Seoul National University

4. Microsoft Research

5. Pennsylvania State University

6. Technicolor Research

Abstract

Today's smartphone operating systems frequently fail to provide users with adequate control over and visibility into how third-party applications use their privacy-sensitive data. We address these shortcomings with TaintDroid, an efficient, systemwide dynamic taint tracking and analysis system capable of simultaneously tracking multiple sources of sensitive data. TaintDroid provides real-time analysis by leveraging Android's virtualized execution environment. Using TaintDroid to monitor the behavior of 30 popular third-party Android applications, we found 68 instances of misappropriation of users' location and device identification information across 20 applications. Monitoring sensitive data with TaintDroid provides informed use of third-party applications for phone users and valuable input for smartphone security service firms seeking to identify misbehaving applications.

Funder

Division of Computer and Network Systems

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Cited by 113 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detection and Privacy Leakage Analysis of Third-Party Libraries in Android Apps;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

2. Context Correlation for Automated Dynamic Android App Analysis to Improve Impact Rating of Privacy and Security Flaws;Lecture Notes in Computer Science;2023

3. Detection of Android Malwares on IOT Platform Using PCA and Machine Learning;Lecture Notes in Electrical Engineering;2023

4. Statistical Feature-Based Personal Information Detection in Mobile Network Traffic;Wireless Communications and Mobile Computing;2022-07-06

5. Hyperconnectivity in action: users of mobile social networks and new technologies;Revista de Gestão;2022-05-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3