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  1. Proceedings of the 5th Annual ACM CCS Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM '15)
  2. Android Rooting: Methods, Detection, and Evasion
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The Past, Present and Future of Digital Privacy
Android Rooting: Methods, Detection, and Evasion
AutoPPG: Towards Automatic Generation of Privacy Policy for Android Applications
Context-Specific Access Control: Conforming Permissions With User Expectations
PrivacyGuard: A VPN-based Platform to Detect Information Leakage on Android Devices
Supporting Privacy-Conscious App Update Decisions with User Reviews
Understanding the Service Life Cycle of Android Apps: An Exploratory Study
NJAS: Sandboxing Unmodified Applications in non-rooted Devices Running stock Android
The Impact of Timing on the Salience of Smartphone App Privacy Notices
Security Metrics for the Android Ecosystem

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Android Rooting: An Arms Race between Evasion and Detection

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Android Rooting: Methods, Detection, and Evasion

Content Provider ACM Digital Library
Author Cuadros, Andrea Sun, San-Tsai Beznosov, Konstantin
Abstract Android rooting enables device owners to freely customize their own devices and run useful apps that require root privileges. While useful, rooting weakens the security of Android devices and opens the door for malware to obtain privileged access easily. Thus, several rooting prevention mechanisms have been introduced by vendors, and sensitive or high-value mobile apps perform rooting detection to mitigate potential security exposures on rooted devices. However, there is a lack of understanding whether existing rooting prevention and detection methods are effective. To fill this knowledge gap, we studied existing Android rooting methods and performed manual and dynamic analysis on 182 selected apps, in order to identify current rooting detection methods and evaluate their effectiveness. Our results suggest that these methods are ineffective. We conclude that reliable methods for detecting rooting must come from integrity-protected kernels or trusted execution environments, which are difficult to bypass.
Starting Page 3
Ending Page 14
Page Count 12
File Format PDF
ISBN 9781450338196
DOI 10.1145/2808117.2808126
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-10-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Web single sign-on Oauth 2.0
Content Type Text
Resource Type Article
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