Abstract
The main task of the article is to develop information technology (IT) for data protection based on combined access methods. The need to create a reliable IT for data protection is conditioned by an active increase in confidential information and unauthorized access. The article presents the existing static and dynamic biometric access methods, the evaluation of biometric technologies is reviewed: market segmentation, access errors and a general table of characteristics. A combined access method based on Acuity Market Intelligence and International Biometric Group data is proposed, which includes a combination of voice and face - a multimodal method. The article contains the calculation of the work accuracy by using the characteristic curves: DET (Detection error trade-off), which establish the relationship between FRR errors (False Rejection Rate) and FAR (False Acceptance Rate) and identify the advantages of a multimodal biometric personnel identification system comparing the unimodal one. Also, the mathematical model of IT for data protection has been developed. The proposed scheme of information links is developed for the IT for data protection based on combined access methods.
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Kupin, A., Kumchenko, Y., Muzyka, I., Kuznetsov, D. (2019). Information Technology of Data Protection on the Basis of Combined Access Methods. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-91008-6_50
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DOI: https://doi.org/10.1007/978-3-319-91008-6_50
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