CROSAug 14, 2020

Making Distributed Mobile Applications SAFE: Enforcing User Privacy Policies on Untrusted Applications with Secure Application Flow Enforcement

arXiv:2008.06536v12 citations
Originality Incremental advance
AI Analysis

This addresses privacy risks for mobile users sharing personal data with untrusted applications, though it is incremental as it builds on existing policy enforcement concepts.

The paper tackles the problem of enforcing user privacy policies on untrusted mobile and cloud applications by introducing the Secure Application Flow Enforcement (SAFE) framework, which leverages mobile OS trust to vet cloud services and demonstrates feasibility through prototypes.

Today's mobile devices sense, collect, and store huge amounts of personal information, which users share with family and friends through a wide range of applications. Once users give applications access to their data, they must implicitly trust that the apps correctly maintain data privacy. As we know from both experience and all-too-frequent press articles, that trust is often misplaced. While users do not trust applications, they do trust their mobile devices and operating systems. Unfortunately, sharing applications are not limited to mobile clients but must also run on cloud services to share data between users. In this paper, we leverage the trust that users have in their mobile OSes to vet cloud services. To do so, we define a new Secure Application Flow Enforcement (SAFE) framework, which requires cloud services to attest to a system stack that will enforce policies provided by the mobile OS for user data. We implement a mobile OS that enforces SAFE policies on unmodified mobile apps and two systems for enforcing policies on untrusted cloud services. Using these prototypes, we demonstrate that it is possible to enforce existing user privacy policies on unmodified applications.

Foundations

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