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POISCS
Problems of information security. Computer systems
Peter the Great St. Petersburg Polytechnic University
Since 1999
ISSN 2071-8217
Английский
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Special Issue, 2023
Year: 2023
Issue: Спецвыпуск
Pages: 194
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152
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Analysis of methods for ensuring information security of wireless AD-HOC networks
Network and cyber-physic systems security
Pahomov M. A.
Pavlenko E. Yu.
Sobolev N. V.
0
13
Pages: 13-24
Cyber physical attacks detection based on graph Fourier transform
Network and cyber-physic systems security
Shtyrkina A. A.
Aleksandrova E. B.
0
15
Pages: 25-33
Analysis of methods for detecting artificially synthesized content
Network and cyber-physic systems security
Danilov V. D.
Gribkov N. A.
Ivanov D. V.
0
15
Pages: 34-44
Development of a metaverse model for user access control to metaverse resources
Network and cyber-physic systems security
ZAGALSKII D. S.
Kashkarov O. E.
Moskvin D. A.
Solovey R. S.
LOGINOV Z. G.
0
16
Pages: 45-53
Early detection of network attacks based on weight agnostic neural networks
Network and cyber-physic systems security
Izotova O. A.
Lavrova D. S.
0
14
Pages: 54-64
A framework for security policies modeling for big data systems
Network and cyber-physic systems security
Berko A. S.
Poltavtseva M. A.
0
5
Pages: 65-76
Ensuring the security of web resources based on intelligent analysis of network traffic
Network and cyber-physic systems security
Skokov N. S.
Krundyshev V. M.
0
8
Pages: 77-85
Classification of methods to counteract a data poisoning attack during neural network training
Artificial intelligence and machine learning systems security
Gololobov N. V.
Pavlenko E. Yu.
0
7
Pages: 86-94
Protection against the threat of the machine learning models extraction
Artificial intelligence and machine learning systems security
Soshnev M. D.
Kalinin M. O.
0
7
Pages: 95-107
Privacy of machine learning models
Artificial intelligence and machine learning systems security
Rudnitskaya E.A.
Poltavtseva M. A.
0
8
Pages: 108-119
A set-theoretic model of data poisoning attack techniques in artificial intelligence systems
Artificial intelligence and machine learning systems security
Gololobov N. V.
Zegzhda D. P.
0
6
Pages: 120-129
Caviats of detecting unfairness biases in results of recommender systems
Artificial intelligence and machine learning systems security
Dakhnovich A. D.
Solovey R. S.
LOGINOV Z. G.
ZAGALSKII D. S.
Moskvin D. A.
Zegzhda D. P.
0
6
Pages: 130-138
An empirical study of the robustness of a linear filter built on the Neyman — Pearson criterion to a change in the mean values
Artificial intelligence and machine learning systems security
Ognev R. A.
Zegzhda D. P.
1
10
Pages: 139-144
Vulnerability detection with an ensemble of analysis algorithms for code graph representation
Software security
Kubrin G. S.
Zegzhda D. P.
0
6
Pages: 145-158
A method for detecting attacks on web applications using a web application firewall based on an artificial neural network
Software security
Suprun A. F.
Sobolev N. V.
0
4
Pages: 159-172
Proxy signature based on GOST 34.10−2018
Applied cryptography
Kuzmina K. A.
Yarmak A. V.
Aleksandrova E. B.
0
6
Pages: 173-182
Research of the isogeny graph structure of supersingular curves for post-quantum cryptography protocols
Applied cryptography
Kostin S. O.
Aleksandrova E. B.
0
6
Pages: 183-193
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