Open AccessInvestigation of the method of determination of password resistance to brute force based on an artificial neural network
Author(s) -
Konstantin Izrailov,
P. E. Zhukovskaya,
P. A. Kurta,
Андрей Алексеевич Чечулин
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1864/1/012123
Subject(s) - password , polling , computer science , cognitive password , password strength , artificial neural network , s/key , password cracking , set (abstract data type) , password policy , machine learning , artificial intelligence , computer security , human–computer interaction , data mining , one time password , operating system , programming language
The paper deals with a topical subject of information system access security through development of a polling system aimed at forecasting the resistance of the user’s passwords against brute force. A method of development of such a system, which is based on computer-aided learning, is suggested. This method is based on the following hypothesis: “Social and psychological features of the password system users have a bearing on the complexity of created passwords.” The method is elaborated in the form of the following 6 steps: development of a group of questions which reflect the preferences of the password system user; implementation of a polling system which requests the user’s typical password; selection of a mechanism of independent estimation of password complexity; application of the polling system to generate implicit interrelations of specific features of users and their passwords; development and training of a neural network to solve a regression problem based on the results of the polling system use; and estimation of the neural network by a test set of users. The experiment results are presented in a form of a diagram. The results of the experiment are discussed and conclusions are drawn about the method development.