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This means that there is no need to perform specific operations for the authentication by keystroke dynamics [3].
In addition to these kinds of algorithms, we introduce the extraction of novel frequency feature and a keystroke authentication system which has a classifier operating in frequency domain.
Any new keystroke authentication system has to consider these factors in the design.
Keystroke authentication systems available in the market are mostly software-based.
Keystroke authentication using time digraphs (latency) has been investigated thoroughly with many researchers [6 10].
Many useful methodologies have been presented and are in use with the current latency keystroke authentication systems available in the market.
As compared to conventional keystroke biometric authentication systems, PBAS has employed a new approach by constructing a waveform pattern for the keystroke password.
Our study is performed in a concrete keystroke-dynamic authentication system.
Biometric systems including keystroke-dynamics based authentication have been well studied in the literature.
The frequency extraction is a new approach that will enhance the authentication protocols and shed light on the keystroke authentication by providing a hidden security level.
The authentication agents investigate the validity of using keystroke dynamics to strengthen security.
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