V. Vasilyev, A. Sulavko, A. Eremenko, S. Zhumazhanova
{"title":"Identification potential capacity of typical hardware for the purpose of hidden recognition of computer network users","authors":"V. Vasilyev, A. Sulavko, A. Eremenko, S. Zhumazhanova","doi":"10.1109/DYNAMICS.2016.7819106","DOIUrl":null,"url":null,"abstract":"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 out. The results (FRR = 0.015, FAR = 0.001) suggest that it is possible to approach on the subject recognition reliability to the methods of identification based on open biometric images (e.g., fingerprint) using standard equipment (keyboard, mouse, webcam).","PeriodicalId":293543,"journal":{"name":"2016 Dynamics of Systems, Mechanisms and Machines (Dynamics)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Dynamics of Systems, Mechanisms and Machines (Dynamics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DYNAMICS.2016.7819106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
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 out. The results (FRR = 0.015, FAR = 0.001) suggest that it is possible to approach on the subject recognition reliability to the methods of identification based on open biometric images (e.g., fingerprint) using standard equipment (keyboard, mouse, webcam).
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