Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Recurrent neural network-based user authentication for freely typed
  keystroke data   Keystroke dynamics-based user authentication (KDA) based on long and freely
typed text is an enhanced user authentication method that can not only identify
the validity of current users during login but also continuously monitors the
consistency of typing behavior after the login process. Previous long and
freely typed text-based KDA methods had difficulty incorporating the key
sequence information and handling variable lengths of keystrokes, which in turn
resulted in lower authentication performance compared to KDA methods based on
short and fixed-length text. To overcome these limitations, we propose a
recurrent neural network (RNN)-based KDA model. As the RNN model can process an
arbitrary length of input and target sequences, our proposed model takes two
consecutive keys as the input sequence and actual typing time for the
corresponding key sequence as the target sequence. Based on experimental
results involving 120 participants, our proposed RNN-KDA model yielded the best
authentication performance for all training and test length combinations in
terms of equal error rate (EER). It achieved a 5%-6% EER using only 10 test
keystrokes while the EERs of other benchmark methods were above 20%. In
addition, its performance steadily and more rapidly improves compared to the
benchmark methods when the length of training keystrokes increases.

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The categories of this paper are: mtrl-th
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The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
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The categories of this paper are: eess
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The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
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The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
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The categories of this paper are: cmp-lg
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The categories of this paper are: ao-sci