In this study, we conduct an empirical analysis of interpretation errors made by Amazon Alexa, the speech-recognition engine that powers the Amazon Echo family of devices. We show how common misinterpretations made by Alexa can be used to build a new class of attacks, called skill squatting attacks, and discuss its security implications.
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering