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Personal voice assistants (VAs) are shown to be vulnerable againstrecord-and-replay, and other acoustic attacks which allow an adversary to gainunauthorized control of connected devices within a smart home. Existingdefenses either lack detection and management capabilities or are toocoarse-grained to enable flexible policies on par with other computinginterfaces. In this work, we present Sesame, a lightweight framework for edgedevices which is the first to enable fine-grained access control of smart-homevoice commands. Sesame combines three components: Automatic Speech Recognition,Natural Language Understanding (NLU) and a Policy module. We implemented Sesameon Android devices and demonstrate that our system can enforce securitypolicies for both Alexa and Google Home in real-time (362ms end-to-endinference time), with a lightweight (<25MB) NLU model which exhibits minimalaccuracy loss compared to its non-compact equivalent.

Open, Sesame! Introducing Access Control to Voice Services