Fuzzy evaluation of biometric authentication systems

Banasik, Arkadiusz; Kapczyński, Adrian

doi:10.1109/idaacs.2011.6072881

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…Fuzzy sets are widely used in common engineering problems, e.g., [18,19]. One of the most common membership functions is the triangular membership function defined by the formula:…”

Section: Delphi Methods and Related Workmentioning

confidence: 99%

Delphi Method Supported by Forecasting Software

Lawnik

Banasik

2020

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The Delphi method is one of the basic tools for forecasting values in various types of issues. It uses the knowledge of experts, which is properly aggregated (e.g., in the form of descriptive statistics measures) and returns to the previous group of experts again, thus starting the next round of forecasting. The multi-stage prediction under the Delphi method allows for better stabilization of the results, which is extremely important in the process of forecasting. Experts in the forecasting process often have access to time series forecasting software but do not necessarily use it. Therefore, it seems advisable to add to the aggregate the value obtained using forecasting software. The advantage of this approach is in saving the time and costs of obtaining a forecast. That should be understood as a smaller burden on data analysts and the value of their work. According to the above mentioned key factors, the main contribution of the article is the use of a virtual expert in the form of a computer-enhanced mathematical tool, i.e., a programming library for a forecasting time series. The chosen software tool is the Prophet library—a Facebook tool that can be used in Python or R programming languages.

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“…Fuzzy sets are widely used in common engineering problems, e.g., [18,19]. One of the most common membership functions is the triangular membership function defined by the formula:…”

Section: Delphi Methods and Related Workmentioning

confidence: 99%

Delphi Method Supported by Forecasting Software

Lawnik

Banasik

2020

Information

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“…In [30], polynomials T n (x) were defined in a finite body GF (p). In addition, the authors used the defined polynomials to determine the new version of Kocarev's cryptosystem given by use of algorithms (1)- (3).…”

Section: Preliminaries and Related Workmentioning

confidence: 99%

“…Data is downloaded and accessed by almost all electronic devices; however, certain data is only valuable if it is kept secret from everyone except those who are authorized to access it. For this reason, many methods have been created primarily for securing data, such as cryptography, steganography (concealing information in objects; e.g., [16,34]), biometrics (using human anthropometric and behavioral features; e.g., [3,20]), etc.…”

Section: Introductionmentioning

confidence: 99%

The application of modified Chebyshev polynomials in asymmetric cryptography

Lawnik

Kapczyński

2019

csci

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Based on Chebyshev polynomials, one can create an asymmetric cryptosystem that allows for secure communication. Such a cryptosystem is based on the fact that these polynomials form a semi-group due to the composition operation. This article presents two new cryptosystems based on modifications of Chebyshev's polynomials. The presented analysis shows that their security is the same as in the case of algorithms associated with the problem of discrete logarithms. The article also shows methods that allow for the faster calculation of Chebyshev polynomials.

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