Journal article
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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Authors
Bibliographic Details
- 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
Item Description
- Keywords:
- Pubs id:
-
pubs:832564
- UUID:
-
uuid:145764b8-05e9-4625-baba-a96b9ef8ce18
- Local pid:
- pubs:832564
- Deposit date:
- 2018-04-30
Terms of use
- Copyright date:
- 2017
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