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Static biometrie images are not private and may be copied to make a physical and digital stimulant without an owner being aware of it, therefore the search for efficient solutions of personal authentication via dynamic biometric characteristics is still in process. A series of computational experiments based on biometric data obtained through a handwritten signature and keystroke dynamics is carried...
A technique for features extraction on thermograms of face and neck regions, characterizing subjects and their following psychophysiological states: normal (calm), drowsiness and a state of alcohol intoxication is proposed. A method of subject-dependent recognition of these states (with the need to create templates of each person's states) is proposed with an error rate of 1.5% and subject-independent...
The paper considers an issues of protecting data from unauthorized access by users' authentication through keystroke dynamics. It proposes to use keyboard pressure parameters in combination with time characteristics of keystrokes to identify a user. The authors designed a keyboard with special sensors that allow recording complementary parameters. The paper presents an estimation of the information...
The paper aims at studying some methods of coding information in text containers. It proposes a method of embedding a digital watermark to the text that is based on biometrical characteristics of the document's author. The information capacity is defined, it is 0.02 in respect of a bit/symbol proportion. A method of checking electronic and paper documents for their authenticity and unauthorized changes...
The research aims at the development of a method of continuous identification of computer network users during their professional activity by means of data received from standard peripherals (keystroke dynamics, facial images registered by a web camera, mouse dynamics). A new method of identification is proposed. A natural experiment evaluating the reliability of the proposed method has been carried...
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