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Snoopy: Sniffing your smartwatch passwords via deep sequence learning

Abstract:

Demand for smartwatches has taken off in recent years with new models which can run independently from smartphones and provide more useful features, becoming first-class mobile platforms. One can access online banking or even make payments on a smartwatch without a paired phone. This makes smartwatches more attractive and vulnerable to malicious attacks, which to date have been largely overlooked. In this paper, we demonstrate Snoopy, a password extraction and inference system which is abl...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3161196

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
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Publisher:
Association for Computing Machinery Publisher's website
Journal:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Journal website
Volume:
1
Issue:
4
Pages:
152:1-152:1
Publication date:
2017-12-01
Acceptance date:
2017-10-01
DOI:
EISSN:
2474-9567
Source identifiers:
832564
Keywords:
Pubs id:
pubs:832564
UUID:
uuid:145764b8-05e9-4625-baba-a96b9ef8ce18
Local pid:
pubs:832564
Deposit date:
2018-04-30

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