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Emerging Threats in Internet of Things Voice Services
Author(s) -
Deepak Kumar,
Riccardo Paccagnella,
Paul Murley,
Eric Hennenfent,
Joshua Mason,
Adam Bates,
Michael Bailey
Publication year - 2019
Publication title -
ieee security and privacy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.53
H-Index - 76
eISSN - 1558-4046
pISSN - 1540-7993
DOI - 10.1109/msec.2019.2910013
Subject(s) - amazon rainforest , echo (communications protocol) , class (philosophy) , interpretation (philosophy) , computer science , computer security , the internet , internet privacy , world wide web , artificial intelligence , ecology , biology , programming language
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.

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