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Trigger-action platforms are a new type of system that connect IoT deviceswith web services. For example, the popular IFTTT platform can connect Fitbitwith Google Calendar to add a bedtime reminder based on sleep history. However,these platforms present confidentiality and integrity risks as they run onpublic cloud infrastructure and compute over sensitive user data. This paperdescribes the design, implementation, and evaluation of Walnut, a low-trusttrigger-action platform that mimics the functionality of IFTTT, while ensuringconfidentiality of data and correctness of computation, at a low resource cost.The key enabler for Walnut is a new two-party secure computation protocol that(i) efficiently performs strings substitutions, which is a common computationin trigger-action platform workloads, and (ii) replicates computation overheterogeneous trusted-hardware machines from different vendors to ensurecorrectness of computation output as long as one of the machines is notcompromised. An evaluation of Walnut demonstrates its plausible deployabilityand low overhead relative to a non-secure baseline--3.6x in CPU and 4.3x innetwork for all but a small percentage of programs.

Walnut: A low-trust trigger-action platform