Leveraging ARM TrustZone and Verifiable Computing to Provide Auditable Mobile Functions Nuno O. Duarte Sileshi Demesie Yalew INESC-ID / IST, University of Lisbon KTH Royal Institute of Technology
[email protected] [email protected] Nuno Santos Miguel Correia INESC-ID / IST, University of Lisbon INESC-ID / IST, University of Lisbon
[email protected] [email protected] ABSTRACT 1 INTRODUCTION The increase of personal data on mobile devices has been fol- For over 30 years [5], an important problem that has fasci- lowed by legislation that forces service providers to process nated the research community is about trusting the result of and maintain users’ data under strict data protection policies. computations performed on untrusted platforms. Since the In this paper, we propose a new primitive for mobile applica- advent of cloud computing, this interest has further grown tions called auditable mobile function (AMF) to help service in obtaining proofs of code execution on untrusted clouds. providers enforcing such policies by enabling them to process An approach to address this problem that has garnered sensitive data within users’ devices and collecting proofs of particular attention is verifiable computing. At a high-level, function execution integrity. We present SafeChecker, a com- verifiable computing consists of studying how a prover can putation verification system that provides mobile application convince a verifier of a mathematical assertion. The main support for AMFs, and evaluate the practicality of different obstacle faced by this field has been practicality, as the costs usage scenario AMFs on TrustZone-enabled hardware. of computing and verifying proofs over general computa- tions tend to be very high [21].