EVALUATION OF PASSWORDS FOR THE LEVEL OF COMPLEXITY USING THE PASSWORDMETER AND ZXCVBN LIBRARIES УДК 004.056.53
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Abstract
The work provides a comparative analysis of assessing the levels of complexity and strength of passwords using the passwordmeter and zxcvbn libraries in the PyCharm Community Edition 2022.2.3 programming environment. For analysis, 15 passwords of different lengths were prepared, divided into 3 groups according to difficulty level. The passwordmeter and zxcvbn libraries allow you to evaluate the complexity of passwords on a scale and display the value of information entropy using the Shannon formula. The work shows that increasing the length of passwords does not significantly affect the increase in the level of password complexity. The result of the work is confirmation of the thesis that generated passwords are the most secure. Memorable passwords made from encrypted words and a combination of numbers have been shown to be quite strong.
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