Privacy-preserving offloading of mobile app to the public cloud

Yue Duan, Mu Zhang, Heng Yin, Yuzhe Tang

Research output: Contribution to conferencePaperpeer-review

6 Scopus citations


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.

Original languageEnglish (US)
StatePublished - Jan 1 2015
Event7th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2015 - Santa Clara, United States
Duration: Jul 6 2015Jul 7 2015


Conference7th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2015
Country/TerritoryUnited States
CitySanta Clara

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software


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