ISSN 1991-2927
 

ACP № 4 (58) 2019

Author: "Sergey Aleksandrovich Ageev "

Sergei Aleksandrovich Ageev, OJSC ‘Research Institute ‘Neptun’, Candidate of Engineering, Associate Professor; graduated from the Faculty of Radio-engineering at Ulyanovsk Polytechnic Institute; Head of the Scientific and Technical Centre OJSC ‘Research Institute ‘Neptun’, St. Petersburg; specializes in the field of telecommunications system design; an author of articles and patents in the field of data-transfer system. [e-mail: serg123_61@mail.ru]S. Ageev

Data Mining Methods for Information Security Risks Management of the Special Purpose Protected Multiservice Networks 000_4.pdf

The data mining methods using for information threat risks management of the special-purpose protected multiservice networks (SPMN) elements are proposed. The fact that the process speed in SPMN, its variety, inaccuracy, and imperfection as well as a high aprior network element data dimension necessitates the application of intelligent techniques for data processing and management is explained. The factors effected on the SPMN information security management cycle time are analyzed, a unified metric for the threat assessment of SPMN elements information security is proposed. A unified mathematical model for the procedure of information security threat clustering, ranking, and classification is developed, its performance criteria are evaluated. The research results of this mathematical model are presented. Threat estimation rules for the special-purpose protected multiservice networks are formulated. The achieved results of mathematical modeling are analyzed, the recommendations of practical application are provided. The similar methods and algorithms application in combination with intelligent agent technology allow to increase the efficiency of SPMN information security management. Directions for future research in this subject domain are defined.

Protected multiservice network, efficiency of the management, tmn-model, mathematical model, intelligent control, fuzzy inference, knowledge base, membership function, fuzzy data, linguistic variable.

2015_ 2

Sections: Information systems

Subjects: Information systems, Mathematical modeling, Artificial intelligence.


Sergey Aleksandrovich Ageev, Military Academy of Communications, Candidate of Engineering, Associate Professor, Advanced Doctoral Student at the Military Academy of Communications (St. Petersburg); graduated from the Faculty of Radio-Engineering of Ulyanovsk Polytechnic Institute; specializes in the field of telecommunications system design; an author of articles and patents in the field of data-transfer system [e-mail: serg123_61@mail.r]S. Ageev,

Igor Borisovich Saenko, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Doctor of Engineering, Professor; graduated from the Military Academy of Communications (St. Petersburg); completed his post-graduate and advanced doctoral programs at the same Academy; Professor at the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences; specializes in the field of creation and development of information-management systems; an author of monographs, articles, and patents in the same field. [e-mail: ibsaen@mail.ru]I. Saenko,

Yuriy Petrovich Egorov, Federal Research-and-Production Center Open Joint Stock Company ‘Research-and-Production Association ‘Mars’, Doctor of Engineering, Professor; graduated from the Faculty of Radio-Engineering of the Admiral Makarov Leningrad Higher Marine School of Engineering; Chief Staff Scientist at Federal Research-and-Production Center Open Joint Stock Company ‘Research-and-Production Association ‘Mars’, Ulyanovsk; specializes in the field of macro-design of large-scale information-management systems; an author of monographs, articles, and patents in the field of computer-aided troop C2 systems design. [e-mail: yupe@mail.ru]Y. Egorov,

Anatoliy Afanasevich Gladkikh, Ulyanovsk State Technical University, Candidate of Engineering; Professor at the Department of Telecommunications of Ulyanovsk State Technical University; graduated from the Marshal Budenny Military Academy of Communications; completed his post-graduate studies at the same Academy; specializes in the field of signal-code sequence synthesis and antinoise coding in telecommunication systems; an author of articles and patents in this subject area [e-mail: a_gladkikh@mail.ru]A. Gladkikh,

Aleksandr Valentinovich Bogdanov, Research-and-Development Center at the Marshal Budenny Military Academy of Communications, Candidate of Military Sciences, Associate Professor, Deputy Head of the Research-and-Development Center at the Marshal Budenny Military Academy of Communications; graduated from Military Academy of Communications; completed his post-graduate studies at the same Academy; specializes in the field of creation and development of information-management systems for communications control. [e-mail: bog-saha@yandex.ru]A. Bogdanov

Intelligent Hierarchical Information Security Risk Management in Protected Special-purpose Multiservice Networks 37_10.pdf

The main approaches to the elaboration of intellectual methods and algorithms synthesized on their base for the assessment and risks management of the information security for protected multi-service networks are considered. The priority for improving such network structures is the efficiency enhancement of the management cycle, the management reliability and the expediency of the responses to the external destructive impact on the network. It is shown that the diversity, the heterogeneity, the incompleteness, the high dimensionality and the inaccuracy of the input data used in the network security management tasks predetermine the necessity of the use of means and methods of the artificial intelligence, in particular, the construction of the prediction analysis generated by the expert, which are formalized as fuzzy sets. Within the framework of this model the hierarchical interaction management tasks are developed and proved. The conceptual provisions of intellectual information security risk management network are provided; the intellectual multi-agent framework for the risk assessment of the network threats as well as the algorithms of their functioning are developed. The study results of the numerical mathematical modeling of the functioning of the intellectual multi agent relating the assessment of the threats to the information network security network are presented.

Telematic network services, tmn model, intelligent management, fuzzy inference, knowledge base, linguistic variable.

2014_ 3

Sections: Artificial intelligence

Subjects: Artificial intelligence, Automated control systems, Architecture of ship's system.


Sergey Alexanderovich Ageev, Military Communications Academy (St. Petersburg), Candidate of Engineering, Associate Professor, advanced doctoral student of the Military Communications Academy (St. Petersburg); graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; head of a scientific and technical centre of Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute; specializes in the field of telecommunications-system design; author of articles, patents in the field of data-transfer systems [e-mail: serg123@mail.ru]S. Ageev,

Igor Borisovich Saenko, St. Petersburg Institute for Informatics and Automation of the Russian Academy of sciences, Doctor of Engineering, Professor, graduated from the Military Communications Academy, completed his post-graduate and advanced doctoral programs at the same academy; leading staff scientist at St. Petersburg Institute for Informatics and Automation of the Russian Academy of sciences (St. Petersburg), specializes in the field of creation and development of information-management systems; author of monographs, articles and patents in this field [e-mail: ibsaen@mail.ru]I. Saenko,

Yury Petrovich Egorov, Federal Research-and- Production Center Open Joint-Stock Company Research-and-Production Association Mars (Ulyanovsk), Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering of Leningrad Higher Marine School named after admiral S. Makarov; chief staff scientist at Federal Research-and- Production Center Open Joint-Stock Company Research-and-Production Association Mars (Ulyanovsk); specializes in the field of macro-design of large-scale information-management systems; author of monographs, articles, patents in the field of design of computer-aided C2 systems for troop control [e-mail: yupe@mail.ru]Y. Egorov,

Evgeny Igorevich Zozulia, Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute, Post-graduate student of St. Petersburg National Research University of Information Technologies, Mechanics and Optics; graduated from St. Petersburg University ITMO, the Faculty of Information Technologies and Programming; head of Laboratory at Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute; specializes in the field of creation and development of large-scale information-management systems for troop control [e-mail: eugenezozulia@ gmail.com]E. Zozulia,

Anatoly Afanasyevich Gladkikh, Ulyanovsk State Technical University, Candidate of Engineering; Professor at the Telecommunications Chair of Ulyanovsk State Technical University; graduated from the Military Communications Academy named after S. Budenny; finished his post-graduate studies at the same academy; is interested in antinoise coding, adaptive management method; author of monographs articles, patents in this subject area [e-mail: a_gladfkikh@mail.ru]A. Gladkikh

Adaptive Algorithms of Traffic Intensity Estimation in Multiservice Networks 31_1.pdf

The article presents and researches adaptive algorithms of traffic intensity estimation in multiservice networks of data transmission. The traffic is interpreted as nonsteady random process of exponential class. The proposed algorithms operate in near-real-time mode and with quality that is comparable to potentially achievable one. The algorithms can be used for research and service control of multiservice networks of data transmission.

Multiservice network, telematics network services, control automation, stochastic approximation, adaptive management, trend, estimation, random process, adaptive algorithms, traffic intensity.

2013_ 1

Sections: System analysis, data management and processing

Subjects: Automated control systems, Information systems, Operational research.


Sergey Alexanderovich Ageev, Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute, Candidate of Engineering, Associate Professor; advanced doctoral student at the Military Communications Academy (Saint-Petersburg); graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; head of a scientific and technical centre of Federal State Unitary Enterprise Central Communications Research Institute - Leningrad Department of Central Communications Research Institute; specializes in the field of telecommunications-system design; author of articles, patents in the field of data-transfer systems [e-mail: serg123_61@mail.ru]S. Ageev,

Igor Borisovich Saenko, Saint-Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, Doctor of Engineering, Professor; graduated from the Military Communications Academy; completed his post-graduate and advanced doctoral programs at the same academy; Professor at Saint-Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences (Saint-Petersburg); specializes in the field of creation and development of information-management systems; author of monographs, articles and patents in this field [e-mail: ibsaen@mail.ru]I. Saenko,

Yury Petrovich Egorov, Federal Research-and- Production Center Open Joint-Stock Company Research-and-Production Association Mars (Ulyanovsk), Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering of Leningrad Higher Marine College named after admiral S. Makarov; chief staff scientist at Federal Research-and- Production Center Open Joint-Stock Company Research-and-Production Association Mars (Ulyanovsk); specializes in the field of macro-design of large-scale information-management systems; author of monographs, articles, patents in the field of design of computer-aided C2 systems for troop control [e-mail: yupe@mail.ru]Y. Egorov,

Anatoly Afanasyevich Gladkikh, Ulyanovsk State Technical University, Candidate of Engineering, Professor of the Chair Telecommunications at Ulyanovsk State Technical University (Ulyanovsk); graduated from the Military Communications Academy; completed his postgraduate program at the same academy; specializes in the field of synthesis of signal-code sequences, antinoise coding in telecommunications systems; author of publications and patents in this field [e-mail: a.gladfkikh@ulstu.ru]A. Gladkikh

About Development of Mathematical-model System for Control of Protected Multi-service Network 29_2.pdf

The article deals with basic approaches to development of mathematical-model system for control of protected multi-service networks. It grounds why intellectual methods for control of protected multi-service systems are required, and presents basic principles of level-sensitive mathematical modeling of operational tasks of control of protected multi-service network. The authors have suggested solutions for interaction of level models as well as coordination of efficiency factors for differentlevel models.

Protected multi-service network, telematic network services, automation of control, tmn model, mathematical model, coordination of control.

2012_ 3

Sections: Mathematical modeling, calculi of approximations and software systems

Subjects: Mathematical modeling, Automated control systems.


Sergey Alexanderovich Ageev, Federal State Unitary Enterprise Research-and-Production Association Signal, Candidate of Engineering, Associate Professor; doctoral student at the Military Communications Academy named after S. Budenny (Saint-Petersburg); graduated from the Faculty of Radio-Engineering at the Ulyanovsk Polytechnic Institute; Deputy Head of R&D Department of Federal State Unitary Enterprise Research-and-Production Association Signal; specializes in the field of telecommunications-system design; has articles, patents in the field of data-transfer systems. [e-mail: serg123@mail.ru]S. Ageev,

Alexander Sergeevich Bushuev, Saint-Petersburg VTB 24 branch, Lead specialist of information-security department at the Saint-Petersburg VTB 24 branch, applicant at Federal State Unitary Enterprise Rubin (Saint-Petersburg); graduated from the Saint-Petersburg State Technical University; specializes in the field of information security in computer-aided and telecommunications systems; author of publications in the above field. [e-mail: bsn@telda.ru]A. Bushuev,

Yury Petrovich Egorov, FRPC OJSC RPA Mars, Doctor of Engineering, Professor, graduated from the Faculty of Radio-Engineering at the Leningrad Maritime Engineering Academy named after S. Makarov; chief staff scientist of FRPC OJSC RPA Mars; specializes in the field of macro-design of large-scale information-management systems; has monographs, articles, patents in the field of design of computer-aided C2 systems for troops. [e-mail: yupe@mail.ru]Y. Egorov,

Igor Borisovich Saenko, Military Communications Academy named after S. Budenny, Doctor of Engineering, Professor, graduated from the Military Communications Academy named after S. Budenny; specializes in the field of creation and development of information-management systems; has monographs, articles and patents in this field. [e-mail: ibsaen@mail.ru]I. Saenko

Concept of Automation of Information-security Control in Protected Special-purpose Multi-service Networks 23_7.pdf

The article deals with conceptual basis for automation of information-security control for protected special-purpose multi-service networks. The authors discuss conceptual model of protected multi-service network control, security threats, protection tasks and mechanisms.

Computer-aided network-control system, protected multi-service network, information security, tmn model, threat model, telematics network services.

2011_ 1

Sections: Information-protection methods and systems. information security

Subjects: Automated control systems, Architecture of ship's system.


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