Privacy-preserving offloading of mobile app to the public cloud

• Main Authors: DUAN, Yue, ZHANG, Mu, YIN, Heng, TANG, Yuzhe
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Android apps; Bytecode instrumentation; Design and implementations; Fine grained; Hardware resources; Privacy breaches; Privacy preserving; Public clouds; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/8175; https://ink.library.smu.edu.sg/context/sis_research/article/9178/viewcontent/hotcloud15_duan.pdf
• Institution: Singapore Management University

To support intensive computations on resource-restricting mobile devices, studies have been made to enable the offloading of a part of a mobile program to the cloud. However, none of the existing approaches considers user privacy when transmitting code and data off the device, resulting in potential privacy breach. In this paper, we present the design and implementation of a system that automatically performs fine-grained privacy-preserving Android app offloading. It utilizes static analysis and bytecode instrumentation techniques to ensure transparent and efficient Android app offloading while preserving user privacy. We evaluate the effectiveness and performance of our system using two Android apps. Preliminary experimental results show that our offloading technique can effectively preserve user privacy while reducing hardware resource consumption at the same time.