A Keystroke-based Continuous User Authentication in Virtual Desktop Infrastructure

Yang, Lulu; Li, Chen; You, Ruibang; Tu, Bibo

doi:10.1109/icccs52626.2021.9449286

“…Here Bi-LSTM along with embedding mechanism and attention layer was applied for authentication purpose with 8.28% EER on the cost of privacy. Intruders were identified by applying majority voting protocol to maintain integrity of system [50]. Another marvelous research work (TKCA) devised a model having a Bidirectional LSTM, prefixed with embedding and postfixed with attention mechanisms to rapidly authenticate keyboard users (typing freely) incessantly.…”

Section: Recurrent Neural Network (Rnn)mentioning

confidence: 99%

“…Total 39 subjects participated for keystroke sample collection in two sessions (11 months duration), and on average 21533 characters were typed by each subject. Used in research: [59], [61], [50], [51]. Keystroke Dynamics on Android platform [63]: Fixed and short passcode ".tie5Ronal" was typed by 42 users, where each user provides 51 keystroke timing samples.…”

Section: Benchmark-datasets Used To Develop Deep Kdbrsmentioning

confidence: 99%

Keystroke Dynamics based Recognition Systems using Deep Learning: A Survey

Tewari¹

2022

Preprint

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“…Here Bi-LSTM along with embedding mechanism and attention layer was applied for authentication purpose with 8.28% EER on the cost of privacy. Intruders were identified by applying majority voting protocol to maintain integrity of system [50]. Another marvelous research work (TKCA) devised a model having a Bidirectional LSTM, prefixed with embedding and postfixed with attention mechanisms to rapidly authenticate keyboard users (typing freely) incessantly.…”

Section: Recurrent Neural Network (Rnn)mentioning

confidence: 99%

“…Total 39 subjects participated for keystroke sample collection in two sessions (11 months duration), and on average 21533 characters were typed by each subject. Used in research: [59], [61], [50], [51]. Keystroke Dynamics on Android platform [63]: Fixed and short passcode ".tie5Ronal" was typed by 42 users, where each user provides 51 keystroke timing samples.…”

Section: Benchmark-datasets Used To Develop Deep Kdbrsmentioning

confidence: 99%