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Nonsense attacks on Google Assistant and missense attacks on Amazon Alexa

Abstract:
This paper presents novel attacks on voice-controlled digital assistants using nonsensical word sequences. We present the results of a small-scale experiment which demonstrates that it is possible for malicious actors to gain covert access to a voice-controlled system by hiding commands in apparently nonsensical sounds of which the meaning is opaque to humans. Several instances of nonsensical word sequences were identified which triggered a target command in a voice-controlled digital assistant, but which were incomprehensible to humans, as shown in tests with human experimental subjects. Our work confirms the potential for hiding malicious voice commands to voice-controlled digital assistants or other speech-controlled devices in speech sounds which are perceived by humans as nonsensical. This paper also develops a novel attack concept which involves gaining unauthorised access to a voice-controlled system using apparently unrelated utterances. We present the results of a proof-of-co ncept study showing that it is possible to trigger actions in a voice-controlled digital assistant using utterances which are accepted by the system as a target command despite having a different meaning to the command in terms of human understanding.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.5220/0007309500750087

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author


Publisher:
SciTePress
Host title:
Proceedings of the 5th International Conference on Information Systems Security and Privacy
Journal:
5th International Conference on Information Systems Security and Privacy More from this journal
Volume:
1
Pages:
75-87
Publication date:
2019-03-14
Acceptance date:
2018-12-01
DOI:
ISBN:
9789897583599


Keywords:
Pubs id:
pubs:951229
UUID:
uuid:22a26ee8-9c36-4dda-878f-09f3ec32cc9c
Local pid:
pubs:951229
Source identifiers:
951229
Deposit date:
2018-12-08
ARK identifier:

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