Conference item
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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- Files:
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(Preview, Accepted manuscript, pdf, 248.6KB, Terms of use)
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- Publisher copy:
- 10.5220/0007309500750087
Authors
+ Engineering and Physical Sciences Research Council
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- Grant:
- doctoral training grant
- 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:
Terms of use
- Copyright date:
- 2019
- Notes:
- This paper was presented at the 5th International Conference on Information Systems Security and Privacy, 23-25 February 2019, Prague, Czech Republic.
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