PriviSense: A Frida-Based Framework for Multi-Sensor Spoofing on Android
Mobile apps increasingly rely on real-time sensor and system data to adapt their behavior to user context. While emulators and instrumented builds offer partial solutions, they often fail to support reproducible testing of context-sensitive app behavior on physical devices. We present \textbf{PriviSense}, a Frida-based, on-device toolkit for runtime spoofing of sensor and system signals on rooted Android devices. PriviSense can script and inject time-varying sensor streams (accelerometer, gyroscope, step counter) and system values (battery level, system time, device metadata) into unmodified apps, enabling reproducible on-device experiments without emulators or app rewrites. Our demo validates real-time spoofing on a rooted Android device across five representative sensor-visualization apps, confirming that injected sensor and system signals are observable by unmodified apps. By supporting scriptable and reversible manipulation of these values, PriviSense facilitates testing of app logic, uncovering of context-based behaviors, and privacy-focused analysis. The entire pipeline runs locally on-device, offering a reproducible and portable setup for experimentation. To ensure ethical use, the code is shared upon request with verified researchers.
\textbf{Tool Guide:} How to Run PriviSense on Rooted Android https://bit.ly/privisense-guide
\textbf{Demonstration video:} https://www.youtube.com/watch?v=4Qwnogcc3pw
Thu 16 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
11:00 - 12:30 | Testing and Analysis 10Research Track / Demonstrations / Journal-first Papers at Oceania I Chair(s): Robert Feldt Chalmers | University of Gothenburg | ||
11:00 15mTalk | Seeing is Believing: Vision-driven Non-crash Functional Bug Detection for Mobile Apps Journal-first Papers Zhe Liu Institute of Software, Chinese Academy of Sciences, Cheng Li Institute of Software, Chinese Academy of Sciences, Chunyang Chen TU Munich, Junjie Wang Institute of Software at Chinese Academy of Sciences, Mengzhuo Chen Institute of Software, Chinese Academy of Sciences, Boyu Wu Institute of Software at Chinese Academy of Sciences, Yawen Wang Institute of Software at Chinese Academy of Sciences, Jun Hu Institute of Software, Chinese Academy of Sciences, Qing Wang Institute of Software at Chinese Academy of Sciences | ||
11:15 15mTalk | PriviSense: A Frida-Based Framework for Multi-Sensor Spoofing on Android Demonstrations Ibrahim Khalilov Johns Hopkins University, Chaoran Chen University of Notre Dame, Ziang Xiao Johns Hopkins University, Tianshi Li Northeastern University, Toby Jia-Jun Li University of Notre Dame, Yaxing Yao Johns Hopkins University | ||
11:30 15mTalk | Optimization-Aware Test Generation for Deep Learning Compilers Research Track Qingchao Shen Tianjin University, Zan Wang Tianjin University, Haoyang Ma Hong Kong University of Science and Technology, Yongqiang Tian Monash University, Lili Huang College of Intelligence and Computing, Tianjin University, Zibo Xiao College of Intelligence and Computing, Tianjin University, Junjie Chen Tianjin University, Shing-Chi Cheung Hong Kong University of Science and Technology | ||
11:45 15mTalk | Think Outside the Box: Automating Inter-App Functionality Testing via Memory Implanting and Reasoning Research Track Mengzhuo Chen Institute of Software, Chinese Academy of Sciences, Zhe Liu Institute of Software, Chinese Academy of Sciences, Chunyang Chen TU Munich, Junjie Wang Institute of Software at Chinese Academy of Sciences, Yangguang Xue University of Chinese Academy of Sciences, Boyu Wu Institute of Software at Chinese Academy of Sciences, Libin Wu Institute of Software Chinese Academy of Sciences, Qing Wang Institute of Software at Chinese Academy of Sciences | ||
12:00 15mTalk | Scalpel: Automotive Deep Learning Framework Testing via Assembling Model Components Research Track Yinglong Zou Nanjing University, Juan Zhai University of Massachusetts at Amherst, Chunrong Fang Nanjing University, An Guo The Hong Kong Polytechnic Universituy, Jiawei Liu State Key Laboratory for Novel Software Technology, Nanjing University, China, Zhenyu Chen Nanjing University Media Attached | ||
12:15 15mTalk | CombCT: Compiler Testing via Combinatorial Testing Research Track Chuan Luo Beihang University, Shaoke Cui Beihang University, Jiahao Yan Beihang University, Junjie Chen Tianjin University, Chenyao Suo Tianjin University, Wei Wu Central South University; Xiangjiang Laboratory, Chanjuan Liu Dalian University of Technology, Chunming Hu Beihang University Media Attached | ||