From Logging to Leakage: A Study of Privacy Leakage in Android App Logs

Android phones are among the most popular mobile devices today, providing users with a wide array of convenient services through various apps. These apps generate software logs during their runtime, which record their behavior, status, and error information. However, these logs can also inadvertently capture sensitive information and user privacy data, often without the developer's awareness. In this study, we constructed a dataset comprising 67,702 log records from 83 Android apps. Our analysis of this dataset identified 610 instances of privacy leakage, which indicates the prevalence of such issues in Android app logs. Additionally, our analysis identified characteristics of Android app logs with exposed sensitive information and revealed a gap between developers' awareness of privacy protection and privacy leakage in real-world scenarios.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3691620.3695340
Citations
1
Primary Topic
Advanced Malware Detection Techniques
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article
Field-Weighted Citation Impact
0.35
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From Logging to Leakage: A Study of Privacy Leakage in Android App Logs

Yiming Tang, Weiyi Shang, Soham Sanjay Deo, Poorna Chander Reddy Puttaparthi et al.
1 citations
Advanced Malware Detection Techniques
0.35
article

From Logging to Leakage: A Study of Privacy Leakage in Android App Logs

Yiming Tang, Weiyi Shang, Soham Sanjay Deo, Poorna Chander Reddy Puttaparthi, Xueling Zhang, Zhiyuan Chen
article en
1 citations

Abstract

Android phones are among the most popular mobile devices today, providing users with a wide array of convenient services through various apps. These apps generate software logs during their runtime, which record their behavior, status, and error information. However, these logs can also inadvertently capture sensitive information and user privacy data, often without the developer's awareness. In this study, we constructed a dataset comprising 67,702 log records from 83 Android apps. Our analysis of this dataset identified 610 instances of privacy leakage, which indicates the prevalence of such issues in Android app logs. Additionally, our analysis identified characteristics of Android app logs with exposed sensitive information and revealed a gap between developers' awareness of privacy protection and privacy leakage in real-world scenarios.

University of Waterloo (CA), Rochester Institute of Technology (US)
Openalex Percentile: Top 43%
Advanced Malware Detection Techniques
0.35
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From Logging to Leakage: A Study of Privacy Leakage in Android App Logs — Yiming Tang, Weiyi Shang, et al. · (2024) | TGRS Research Map | TGRS