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Statements

Subject Item
n2:69553
rdf:type
bibo:Article n10:EPrint n10:ArticleEPrint bibo:AcademicArticle
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n9:j.cose.2018.09.003
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dcterms:title
When Human cognitive modeling meets PINs: User-independent inter-keystroke timing attacks
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n16:export_kar_RDFN3.n3 n18:export_kar_RDFN3.n3
dcterms:date
2019-01-01
dcterms:creator
n6:ext-robertdeng@smu.edu.sg n6:ext-yjli@smu.edu.sg n6:ext-xmliu.2015@smu.edu.sg n6:ext-bingchang@smu.edu.sg n6:ext-s.j.li@kent.ac.uk
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n21:ext-f308aad1ef8f70546c3a197f104f2ad5
bibo:abstract
This paper proposes the first user-independent inter-keystroke timing attacks on PINs. Our attack method is based on an inter-keystroke timing dictionary built from a human cognitive model whose parameters can be determined by a small amount of training data on any users (not necessarily the target victims). Our attacks can thus be potentially launched on a large scale in real-world settings. We investigate inter-keystroke timing attacks in different online attack settings and evaluate their performance on PINs at different strength levels. Our experimental results show that the proposed attack performs significantly better than random guessing attacks. We further demonstrate that our attacks pose a serious threat to real-world applications and propose various ways to mitigate the threat.
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n7:repository n20:ext-01674048
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n14:QA76.9.H85 n14:TK7885 n14:QA75
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n4:authors
bibo:volume
80