<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">tuzsut</journal-id><journal-title-group><journal-title xml:lang="ru">Труды учебных заведений связи</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings of Telecommunication Universities</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1813-324X</issn><issn pub-type="epub">2712-8830</issn><publisher><publisher-name>СПбГУТ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.31854/1813-324X-2026-12-3-112-128</article-id><article-id custom-type="edn" pub-id-type="custom">JIZXYX</article-id><article-id custom-type="elpub" pub-id-type="custom">tuzsut-811</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ И ТЕЛЕКОММУНИКАЦИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INFORMATION TECHNOLOGIES AND TELECOMMUNICATION</subject></subj-group></article-categories><title-group><article-title>Архитектурная модель ONYX для X-адаптивного управления информационной системой в условиях дестабилизирующих факторов произвольной природы</article-title><trans-title-group xml:lang="en"><trans-title>Architectural Model ONYX for X-Adaptive Control of Information Systems Under Arbitrary Destabilizing Factors</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4866-217X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Грызунов</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Gryzunov</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>доктор технических наук, доцент, профессор кафедры прикладной информатики и безопасности информационных технологий Санкт-Петербургского университета ГПС МЧС России</p></bio><email xlink:type="simple">viv1313r@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Санкт-Петербургский университет ГПС МЧС России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Saint-Petersburg University of the State Fire Service of the EMERCOM of Russia</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>01</day><month>07</month><year>2026</year></pub-date><volume>12</volume><issue>3</issue><fpage>112</fpage><lpage>128</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Грызунов В.В., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Грызунов В.В.</copyright-holder><copyright-holder xml:lang="en">Gryzunov V.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://tuzs.sut.ru/jour/article/view/811">https://tuzs.sut.ru/jour/article/view/811</self-uri><abstract><sec><title>Актуальность</title><p>Актуальность. Современные информационные системы функционируют в условиях перманентного действия гибридных дестабилизирующих факторов, природа которых – от целенаправленных кибератак до стохастических технических сбоев, саботажа, ухода ключевого персонала, введения санкций – часто априорно неизвестна. Существующие методы управления информационными системами в условиях дестабилизирующих факторов фрагментарны: они либо сосредоточены на узких технических аспектах, либо ограничены административными регламентами, не обеспечивая целостного охвата всех иерархических уровней системы. </p></sec><sec><title>Цель</title><p>Цель. Разработка универсальной архитектурной модели управления ONYX, представляющей информационную систему как вычислимое пространство состояний и обеспечивающей верифицируемую адаптацию к дестабилизирующим факторам произвольной природы для сохранения ее функционала.</p></sec><sec><title>Методы</title><p>Методы. Состояние информационной системы представлено как атрибутированный мультиграф. Для иерархических систем введен Постулат иерархической организованности с делением на уровни: обеспечивающий, персонала, аппаратного и программного обеспечения. Валидность и легитимность состояний определяется соответственно предикатами IsValid(s) и IsIntended(s) на основе логики первого порядка. Управление системой реализуется оператором R на базе верифицированных шаблонов.</p></sec><sec><title>Результаты</title><p>Результаты. Разработана модель ONYX, представляющая информационную систему в виде мультиграфа с оператором управления. Доказаны теоремы о критерии существования решения (X-адаптивность), разрешимости восстановления оператором R, инвариантности безопасности и относительной полноты оператора. Выведены следствия: эффект «Конуса влияния» и принцип уровневой нейтрализации угроз. Научная новизна заключается в универсальности формализма для иерархических и роевых систем, определении необходимых и достаточных условий разрешимости задачи восстановления, доказательстве следствий иерархии, обосновании кросс-уровневой восстанавливаемости и введении инварианта валидности автоматического управления.</p></sec><sec><title>Теоретическая значимость</title><p>Теоретическая значимость: создание математического аппарата для управления структурной динамикой сложных систем в условиях дестабилизирующих факторов произвольной природы. Практическая значимость – в формализации требований ИБ-стандартов (ISO/IEC 27001, ГОСТ Р ИСО/МЭК 270xx, NIST CSF) для построения систем SOAR нового поколения, объединяющих организационные и технические меры.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Background</title><p>Background. Modern information systems operate under the permanent influence of hybrid destabilizing factors whose nature — ranging from targeted cyberattacks to stochastic technical failures, sabotage, key personnel departure, and sanctions imposition — is often a priori unknown. Existing methods for controlling information systems under destabilizing factors are fragmented: they either focus on narrow technical aspects or are limited to administrative regulations, failing to provide holistic coverage of all hierarchical levels of the system.</p></sec><sec><title>Objective</title><p>Objective. The objective is to develop a generic architectural control model, ONYX, representing an information system as a computable state space and ensuring verifiable adaptation to destabilizing factors of arbitrary nature in order to preserve its functionality.</p></sec><sec><title>Methods</title><p>Methods. The state of an information system is represented as an attributed multigraph. For hierarchical systems, the Hierarchical Organization Postulate is introduced, decomposing the graph into the following levels: Management, Personnel, Hardware, and Software. The validity and intendedness of states are determined by the predicates  and  , respectively, based on first-order logic. System control is implemented by the operator R using a database of verified templates.</p></sec><sec><title>Results</title><p>Results. The ONYX model has been developed, representing an information system as a multigraph with a control operator. Theorems have been proved on the solution existence criterion, namely X-adaptivity, on the solvability of recovery by the operator  , on safety invariance, and on the relative completeness of the operator. The following consequences have been derived: the “Cone of Influence” effect and the principle of layer-based threat neutralization. The scientific novelty lies in the universality of the formalism for hierarchical and swarm systems, the definition of necessary and sufficient conditions for the solvability of the recovery task, the proof of the consequences of hierarchy, the substantiation of cross-level recoverability, and the introduction of a validity invariant for automatic control.</p><p>Theoretical and Practical Significance. The theoretical significance consists in creating a mathematical apparatus for controlling the structural dynamics of complex systems under destabilizing factors of arbitrary nature. The practical significance lies in formalizing the requirements of information security standards, including ISO/IEC 27001, GOST R ISO/IEC 270xx, and NIST CSF, for building next-generation SOAR systems that integrate organizational and technical protection measures.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>графовая модель</kwd><kwd>информационная безопасность</kwd><kwd>логика первого порядка</kwd><kwd>упреждающее управление</kwd><kwd>X-адаптивность</kwd><kwd>иерархическая архитектура</kwd><kwd>социотехнические системы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>graph model</kwd><kwd>information security</kwd><kwd>first-order logic</kwd><kwd>preemptive control</kwd><kwd>X-adaptability</kwd><kwd>hierarchical architecture</kwd><kwd>socio-technical systems</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Максимова Е.А. Аксиоматика инфраструктурного деструктивизма субъекта критической информационной инфраструктуры // Информатизация и связь. 2022. № 1. С. 68‒74. DOI:10.34219/2078-8320-2022-13-1-68-74. EDN:ZMOPQB</mixed-citation><mixed-citation xml:lang="en">Maksimova E.A. Axiomatics of infrastructural destructivism of a critical information infrastructure subject. Informatization and communication. 2022;1:68–74. (in Russ.) DOI:10.34219/2078-8320-2022-13-1-68-74. EDN:ZMOPQB</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Гурина Л.А., Томин Н.В. Интеллектуальные методы обеспечения кибербезопасности мультиагентных систем управления микросетями // Вопросы кибербезопасности. 2024. № 6(64). С. 53–64. DOI:10.21681/2311-3456-2024-6-53-64. EDN:BORTZT</mixed-citation><mixed-citation xml:lang="en">Gurina L.A., Tomin N.V. Intelligent methods of ensuring cybersecurity of multi-agent microgrid control systems. Voprosy kiberbezopasnosti (Cybersecurity Issues). 2024;6(64):53–64. (in Russ.) DOI:10.21681/2311-3456-2024-6-53-64. EDN:BORTZT</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Wei L., Yang Y., Wu J., Long C., Li B. Trust Management for Internet of Things: A Comprehensive Study // IEEE Internet of Things Journal. 2022. Vol. 9. Iss. 10. PP. 7664‒7679. DOI:10.1109/JIOT.2021.3139989. EDN:JRPLEV</mixed-citation><mixed-citation xml:lang="en">Wei L., Yang Y., Wu J., Long C., Li B. Trust Management for Internet of Things: A Comprehensive Study. IEEE Internet of Things Journal. 2022;9(10):7664–7679. DOI:10.1109/JIOT.2021.3139989. EDN:JRPLEV</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Nguyen T.T., Reddi V.J. Deep Reinforcement Learning for Cyber Security // IEEE Transactions on Neural Networks and Learning Systems. 2021. Vol. 34. Iss. 8. PP. 3779‒3795. DOI:10.1109/TNNLS.2021.3121870. EDN:FKCUDV</mixed-citation><mixed-citation xml:lang="en">Nguyen T.T., Reddi V.J. Deep Reinforcement Learning for Cyber Security. IEEE Transactions on Neural Networks and Learning Systems. 2021;34(8):3779–3795. DOI:10.1109/TNNLS.2021.3121870. EDN:FKCUDV</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Yin Z., Lin Y., Zhang Y., Qian Y., Shu F., Li J. Collaborative Multiagent Reinforcement Learning Aided Resource Allocation for UAV Anti-Jamming Communication // IEEE Internet of Things Journal. 2022. Vol. 9. Iss. 23. PP. 23995‒24008. DOI:10.1109/jiot.2022.3188833. EDN:CQKPMR</mixed-citation><mixed-citation xml:lang="en">Yin Z., Lin Y., Zhang Y., Qian Y., Shu F., Li J. Collaborative Multiagent Reinforcement Learning Aided Resource Allocation for UAV Anti-Jamming Communication. IEEE Internet of Things Journal. 2022;9(23):23995–24008. DOI:10.1109/jiot.2022.3188833. EDN:CQKPMR</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Wan Z., Cho J.H., Zhu M., Anwar A.H., Kamhoua C.A., Singh M.P. Resisting Multiple Advanced Persistent Threats via Hypergame-Theoretic Defensive Deception // IEEE Transactions on Network and Service Management. 2023. Vol. 20. Iss. 3. PP. 3816‒3830. DOI:10.1109/tnsm.2023.3240366. EDN:ISRRNW</mixed-citation><mixed-citation xml:lang="en">Wan Z., Cho J.H., Zhu M., Anwar A.H., Kamhoua C.A., Singh M.P. Resisting Multiple Advanced Persistent Threats via Hypergame-Theoretic Defensive Deception. IEEE Transactions on Network and Service Management. 2023;20(3):3816–3830. DOI:10.1109/tnsm.2023.3240366. EDN:ISRRNW</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Segovia-Ferreira M., Rubio-Hernan J., Cavalli A., Garcia-Alfaro J. A survey on cyber-resilience approaches for cyber-physical systems // ACM Computing Surveys. 2024. Vol. 56. Iss. 8. PP. 1‒37. DOI:10.1145/3652953</mixed-citation><mixed-citation xml:lang="en">Segovia-Ferreira M., Rubio-Hernan J., Cavalli A., Garcia-Alfaro J. A survey on cyber-resilience approaches for cyber-physical systems. ACM Computing Surveys. 2024;56(8):1–37. DOI:10.1145/3652953</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Kuikka V., Rantanen H. Resilience of Multi-Layer Communication Networks // Sensors. 2022. Vol. 23. Iss. 1. P. 86. DOI:10.3390/s23010086. EDN:JTEMYM</mixed-citation><mixed-citation xml:lang="en">Kuikka V., Rantanen H. Resilience of multi-layer communication networks. Sensors. 2022;23(1):86. DOI:10.3390/s23010086. EDN:JTEMYM</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Wang X., Niu B., Shang Z., Niu Y. Distributed resilient adaptive consensus tracking control of nonlinear multi-agent systems dealing with deception attacks via K-filters approach // Automatica. 2024. Vol. 169. P. 111871. DOI:10.1016/j.automatica.2024.111871. EDN:SLWBOM</mixed-citation><mixed-citation xml:lang="en">Wang X., Niu B., Shang Z., Niu Y. Distributed resilient adaptive consensus tracking control of nonlinear multi-agent systems dealing with deception attacks via K-filters approach. Automatica. 2024;169:111871. DOI:10.1016/j.automatica.2024.111871. EDN:SLWBOM</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Canonico R., Sperlì G. Industrial cyber-physical systems protection: A methodological review // Computers &amp; Security. 2023. Vol. 135. P. 103531. DOI:10.1016/j.cose.2023.103531. EDN:SZERNJ</mixed-citation><mixed-citation xml:lang="en">Canonico R., Sperlì G. Industrial cyber-physical systems protection: A methodological review. Computers &amp; Security. 2023;135:103531. DOI:10.1016/j.cose.2023.103531. EDN:SZERNJ</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Arauz T., Chanfreut P., Maestre J.M. Cyber-security in networked and distributed model predictive control // Annual Reviews in Control. 2022. Vol. 53. PP. 338‒355. DOI:10.1016/j.arcontrol.2021.10.005. EDN:DOVLWJ</mixed-citation><mixed-citation xml:lang="en">Arauz T., Chanfreut P., Maestre J.M. Cyber-security in networked and distributed model predictive control. Annual Reviews in Control. 2022;53:338–355. DOI:10.1016/j.arcontrol.2021.10.005. EDN:DOVLWJ</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Xing W., Shen J. Security Control of Cyber–Physical Systems under Cyber Attacks: A Survey // Sensors. 2024. Vol. 24. Iss. 12. P. 3815. DOI:10.3390/s24123815. EDN:OXISLH</mixed-citation><mixed-citation xml:lang="en">Xing W., Shen J. Security Control of Cyber–Physical Systems under Cyber Attacks: A Survey. Sensors. 2024;24(12):3815. DOI:10.3390/s24123815. EDN:OXISLH</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Luo M., Yu Z., Xiao Y., Xiong L., Xu Q., Ma L., Wu Z. Full-order adaptive sliding mode control with extended state observer for high-speed PMSM speed regulation // Scientific Reports. 2023. Vol. 13. Iss. 1. P. 6200. DOI:10.1038/s41598-023-33455-x. EDN:SQOMRD</mixed-citation><mixed-citation xml:lang="en">Luo M., Yu Z., Xiao Y., Xiong L., Xu Q., Ma L., Wu Z. Full-order adaptive sliding mode control with extended state observer for high-speed PMSM speed regulation. Scientific Reports. 2023;13(1):6200. DOI:10.1038/s41598-023-33455-x. EDN:SQOMRD</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Полтавцева М.А. Модель активного мониторинга как основа управления безопасностью промышленных киберфизических систем // Вопросы кибербезопасности. 2021. № 2(42). С. 51‒60. DOI:10.21681/2311-3456-2021-2-51-60. EDN:WSMBXF</mixed-citation><mixed-citation xml:lang="en">Poltavtseva M. Active monitoring model as a basis for security management of industrial CPS. Voprosy kiberbezopasnosti (Cybersecurity Issues). 2021;42(2):51–60. (in Russ.) DOI:10.21681/2311-3456-2021-2-51-60. EDN:WSMBXF</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Blanco C., Rosado D.G., Varela-Vaca Á.J., Gómez-López M.T., Fernández-Medina E. Onto-CARMEN: Ontology-driven approach for Cyber-Physical System Security Requirements meta-modelling and reasoning // Internet of Things. 2023. Vol. 24. P. 100989. DOI:10.1016/j.iot.2023.100989. EDN:HYOTME</mixed-citation><mixed-citation xml:lang="en">Blanco C., Rosado D.G., Varela-Vaca Á.J., Gómez-López M.T., Fernández-Medina E. Onto-CARMEN: Ontology-driven approach for Cyber–Physical System Security Requirements meta-modelling and reasoning. Internet of Things. 2023;24:100989. DOI:10.1016/j.iot.2023.100989. EDN:HYOTME</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Bakirtzis G., Sherburne T., Adams S., Horowitz B.M., Beling P.A., Fleming C.H. An ontological metamodel for cyber-physical system safety, security, and resilience coengineering // Software and Systems Modeling. 2022. Vol. 21. Iss. 1. PP. 113‒137. DOI:10.1007/s10270-021-00892-z. EDN:VGYIJO</mixed-citation><mixed-citation xml:lang="en">Bakirtzis G., Sherburne T., Adams S., Horowitz B.M., Beling P.A., Fleming C.H. An ontological metamodel for cyber-physical system safety, security, and resilience coengineering. Software and Systems Modeling. 2022;21(1):113–137. DOI:10.1007/s10270-021-00892-z. EDN:VGYIJO</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Kayan H., Nunes M., Rana O., Burnap P., Perera C. Cybersecurity of Industrial Cyber-Physical Systems: A Review // ACM Computing Surveys (CSUR). 2022. Vol. 54. Iss. 11s. P. 229. DOI:10.1145/3510410</mixed-citation><mixed-citation xml:lang="en">Kayan H., Nunes M., Rana O., Burnap P., Perera C. Cybersecurity of industrial cyber-physical systems: A review. ACM Computing Surveys (CSUR). 2022;54(11s):229. DOI:10.1145/3510410</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Rahman M.H., Shafae M. Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing: A Defense-in-Depth Driven Framework and Taxonomy // Journal of Computing and Information Science in Engineering. 2025. Vol. 25. Iss. 9. P. 091005. DOI:10.1115/1.4068844. EDN:OKVQFQ</mixed-citation><mixed-citation xml:lang="en">Rahman M.H., Shafae M. Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing: A Defense-in-Depth Driven Framework and Taxonomy. Journal of Computing and Information Science in Engineering. 2025:25(9):091005. DOI:10.1115/1.4068844. EDN:OKVQFQ</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Damm W., Hess D., Schweda M., Sztipanovits J., Bengler K., Biebl B. et al. A Reference Architecture of Human Cyber-Physical Systems–Part I: Fundamental Concepts // ACM Transactions on Cyber-Physical Systems. 2024. Vol. 8. Iss. 1. PP. 1‒32. DOI:10.1145/3622879</mixed-citation><mixed-citation xml:lang="en">Damm W., Hess D., Schweda M., Sztipanovits J., Bengler K., Biebl B. et al. A Reference Architecture of Human Cyber-Physical Systems–Part I: Fundamental Concepts. ACM Transactions on Cyber-Physical Systems. 2024;8(1):1–32. DOI:10.1145/3622879</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Immerman N. Descriptive Complexity // Graduate Texts in Computer Science. New York, Berlin, Heidelberg: Springer-Verlag, 1999. DOI:10.1007/978-1-4612-0539-5</mixed-citation><mixed-citation xml:lang="en">Immerman N. Descriptive Complexity. Graduate Texts in Computer Science. New York, Berlin, Heidelberg: Springer-Verlag; 1999. DOI:10.1007/978-1-4612-0539-5</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Грызунов В.В. Модель целенаправленных агрессивных действий на информационно-вычислительную систему // Труды Третьей международной научно-практической конференции «Человеческий фактор в сложных технических системах и средах» (ЭРГО-2018, Санкт-Петербург, Российский Федерация, 07.06.2018). Тверь: Межрегиональная общественная организация "Эргономическая ассоциация", 2018. С. 300‒305. EDN:YUORVZ</mixed-citation><mixed-citation xml:lang="en">Gryzunov V.V. Model of Purpose Aggressive Actions on the Information-Computing System. Proceedings of the Third International Scientific and Practical Conference on Human Factor in Complex Technical Systems and Environments, ERGO-2018, 07.06.2018, St. Petersburg, Russian Federation. Tver: Ergonomic Association Publ.; 2018. p.300‒305. (in Russ.) EDN:YUORVZ</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Gryzunov V.V. Conceptual Model for Adaptive Control of a Geographic Information System under Conditions of Destabilization // Automatic Control and Computer Sciences. 2021. Vol. 55. Iss. 8. PP. 1222‒1227. DOI:10.3103/S0146411621080381. EDN:KWLWGO</mixed-citation><mixed-citation xml:lang="en">Gryzunov V.V. Conceptual Model for Adaptive Control of a Geographic Information System under Conditions of Destabilization. Automatic Control and Computer Sciences. 2021;55(8):1222–1227. DOI:10.3103/S0146411621080381. EDN:KWLWGO</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Микони С.В., Соколов Б.В., Юсупов Р.М. Квалиметрия моделей и полимодельных комплексов: монография. М.: РАН, 2018. 314 с. DOI:10.31857/S9785907036321000001. EDN:VVUKQW</mixed-citation><mixed-citation xml:lang="en">Mikoni S.V., Sokolov B.V., Yusupov R.M. Qualimetry of Models and Polymodel Complexes. Moscow: RAS Publ.; 2018. 314 p. (in Russ.) DOI:10.31857/S9785907036321000001. EDN:VVUKQW</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Грызунов В.В., Шестаков А.В. Модель системы адаптивного управления киберполигоном МЧС России на основе операторного уравнения // Вопросы кибербезопасности. 2024. № 6(64). С. 140‒149. DOI:10.21681/2311-3456-2024-6-140-149. EDN:GSHMNZ</mixed-citation><mixed-citation xml:lang="en">Gryzunov V.V., Shestakov A.V. Model of the adaptive control system of the cyber range of the russian emergencies ministry based on the operator equation. Voprosy kiberbezopasnosti (Cybersecurity Issues). 2024;64(6):140–149. (in Russ.) DOI:10.21681/2311-3456-2024-6-140-149. EDN:GSHMNZ</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Грызунов В.В., Шестаков А.В. Многоуровневый фреймворк обоснования процедур мониторинга и реагирования на инциденты информационной безопасности // Вопросы кибербезопасности. 2025. № 6(70). С. 14‒24. DOI:10.21681/2311-3456-2025-6-14-24. EDN:HTFRHK</mixed-citation><mixed-citation xml:lang="en">Gryzunov V.V., Shestakov A.V. A multi-level framework for justifying information security incident monitoringand response procedures. Voprosy kiberbezopasnosti (Cybersecurity Issues). 2025;6(70):14–24. (in Russ.) DOI:10.21681/2311-3456-2025-6-14-24. EDN:HTFRHK</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
