scispace - formally typeset
Open AccessProceedings ArticleDOI

TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones

Reads0
Chats0
TLDR
Using TaintDroid to monitor the behavior of 30 popular third-party Android applications, this work found 68 instances of misappropriation of users' location and device identification information across 20 applications.
Abstract
Today's smartphone operating systems frequently fail to provide users with adequate control over and visibility into how third-party applications use their private data. We address these shortcomings with TaintDroid, an efficient, system-wide dynamic taint tracking and analysis system capable of simultaneously tracking multiple sources of sensitive data. TaintDroid provides realtime analysis by leveraging Android's virtualized execution environment. TaintDroid incurs only 14% performance overhead on a CPU-bound micro-benchmark and imposes negligible overhead on interactive third-party applications. Using TaintDroid to monitor the behavior of 30 popular third-party Android applications, we found 68 instances of potential misuse of users' private 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.

read more

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

Towards Automatic Generation of Security-Centric Descriptions for Android Apps

TL;DR: Experimental results demonstrate that DescribeME enables a promising technique which bridges the gap between descriptions and permissions and a further user study shows that automatically produced descriptions are not only readable but also effectively help users avoid malware and privacy-breaching apps.
Posted Content

I know what leaked in your pocket: uncovering privacy leaks on Android Apps with Static Taint Analysis

TL;DR: This work performs inter-component data-flow analysis to detect privacy leaks between components of Android applications and outperforms all other available tools by reaching a precision of 95.0% and a recall of 82.6%.
Proceedings ArticleDOI

Things You May Not Know About Android (Un)Packers: A Systematic Study based on Whole-System Emulation.

TL;DR: DROIDUNPACK is a whole-system emulation based Android packing analysis framework, which compared with existing tools, relies on intrinsic characteristics of Android runtime (rather than heuristics), and further enables virtual machine inspection to precisely recover hidden code and reveal packing behaviors.
Proceedings ArticleDOI

DroidForce: Enforcing Complex, Data-centric, System-wide Policies in Android

TL;DR: Droid Force allows users to specify fine-grained constraints on how and when which data may be processed on their phones, regardless of whether the malicious behavior is distributed over different colluding components or even applications.
Journal ArticleDOI

Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique

TL;DR: Experimental results on real-world devices show that existing AMTs are incapable of detecting most of the generated malware, and the approach, named Mystique-S, is implemented, as a service-oriented malware generation system.
References
More filters
Journal ArticleDOI

TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones

TL;DR: TaintDroid as mentioned in this paper is an efficient, system-wide dynamic taint tracking and analysis system capable of simultaneously tracking multiple sources of sensitive data by leveraging Android's virtualized execution environment.
Journal ArticleDOI

Language-based information-flow security

TL;DR: A structured view of research on information-flow security is given, particularly focusing on work that uses static program analysis to enforce information- flow policies, and some important open challenges are identified.
Journal ArticleDOI

A lattice model of secure information flow

TL;DR: The model provides a unifying view of all systems that restrict information flow, enables a classification of them according to security objectives, and suggests some new approaches to formulating the requirements of secure information flow among security classes.
Proceedings Article

Dynamic Taint Analysis for Automatic Detection, Analysis, and Signature Generation of Exploits on Commodity Software

TL;DR: TaintCheck as mentioned in this paper performs dynamic taint analysis by performing binary rewriting at run time, which can reliably detect most types of exploits and produces no false positives for any of the many different programs that were tested.
Proceedings ArticleDOI

JFlow: practical mostly-static information flow control

TL;DR: The new language JFlow is described, an extension to the Java language that adds statically-checked information flow annotations and provides several new features that make information flow checking more flexible and convenient than in previous models.
Related Papers (5)