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Pre-Conference Talk by TANG Xiaoxiao | Towards Dynamically Monitoring Android Applications on Non-rooted Devices in the Wild

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Towards Dynamically Monitoring Android Applications

on Non-rooted Devices in the Wild

Speaker (s):

TANG Xiaoxiao

PhD Candidate

School of Information Systems

Singapore Management University


 

Date:


Time:


Venue:

 

June 12, 2018, Tuesday


3:00pm - 3:30pm


SIS Seminar Room 3.3, Level 3

School of Information Systems

Singapore Management University

80 Stamford Road

Singapore 178902

We look forward to seeing you at this research seminar.

About the Talk

Dynamic analysis is an important technique to reveal sensitive behavior of Android apps. Current works require access to the code-level and system-level events (e.g., API calls and system calls) triggered by the running apps and consequently, they can only be conducted on in-lab running environments (e.g., emulators and modified OS). The strict requirement of running environment hinders their deployment in scale and makes them vulnerable to anti-analysis techniques. Furthermore, current dyna

We propose to dynamically analyze app behavior on non-rooted devices used by the public so that it is possible to analyze dynamically in scale without input generators. By doing so, we also maximize the code coverage since the app behavior is invoked by real users of the apps. To achieve such a goal, we build UpDroid, a system for detecting sensitive behavior without modifying Android OS, rooting the device, or leveraging emulators. UpDroid detects sensitive events by monitoring the changing of public resources on the device, instead of accessing low-level events that require rooting or system modification. To identify the apps that trigger the detected events, UpDroid formulates the identification as a ranking problem and adopts learning to rank technique to solve it. Our experimental results demonstrate that UpDroid can successfully detect the use of 15 out of 26 permissions that are labeled dangerous in the official Android documentation. We also compare UpDroid with API hooking which can theoretically capture all sensitive behavior but requires root permission and system modifications. Results show that UpDroid can still achieve 70% coverage of API hooking even without root permission or any system modifications.

This a pre-conference talk for 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec 2018).

About the Speaker

Xiaoxiao Tang is a PhD candidate in the School of Information Systems, Singapore Management University under the supervision of Associate Professor Debin Gao. Her current research interests focus on mobile application and system security.