When complex situations of the guaranteed provision of OBCP IS arise, the decision-making process should be performed under condition of active interaction with experts; in this case, such an operation proves to be rather labor consuming without computer technologies. Even the initial problem of designing the integrated systems for information protection (ISIP) can be attributed to the weakly formalized problems with incomplete information. Similar tasks include the situations, connected with the recognition of prolonged targeted cyberattacks, which are not distinguished by explicit attributes. Therefore, the subject of the study that addresses the development of models and software (SW) of DSS in the weakly structured and difficult-to-formalize tasks in the provision of OBCP IS appears relevant. Literature review and problem statementAn increase in the number of cyberattacks on MCCS in recent years has generated interest towards the development IntroductionIn connection with the growing number of complex targeted cyberattacks directed at the mission critical computer systems (MCCS), one of the vital problems of society is the information security (IS) and its component -cybersecurity (CS). When conducting targeted attacks, cybercriminals frequently are used unique harmful programs and methods of penetrating the MCCS (objects of cyberprotection -OBCP). Resisting a constant increase in the complexity of illegitimate actions on MCCS is possible, in particular, using the systems for the intelligent recognition of cyberattacks (SIRCA), equipped with the modules for decision support system (DSS). The architecture of the latter implies, as a rule, a system for intelligent data analysis (SIDA or Data Mining). SIRCA make it possible to reveal regularities in the dynamics of development of the OBCP states, combining the knowledge and experience of decision making by experts, as well as the SIDA computational potential. INFORMATION TECHNOLOGY DESIGNING A DECISION SUPPORT SYSTEM FOR THE WEAKLY FORMALIZED PROBLEMS IN THE PROVISION OF CYBERSECURITY B . A k h m e t o v Y . B o i k oAssociate Professor Department of Information Technology Security* E-mail: julia_boyko2010@ukr.net A . M i s h c h e n k oAssociate Professor Department of Information Security Protection* E-mail: partpravo@i.ua *National Aviation University Kosmonavta Komarova ave., 1, Kyiv, Ukraine, 03058Розроблено систему підтримки при-йняття рішень (СППР) в слабко форма-лізуємих завданнях забезпечення кібер-безпеки. Система базується на моделях опису завдань кіберзахисту в понятійно-му і функціональному аспектах. Описано процес формування бази знань СППР для обставин, пов'язаних з виявленням важко пояснюваних ознак аномалій та атак. Запропонована СППР дозволяє підвищи-ти розуміння ситуації, яка підлягає ана-лізу в процесі кіберзахисту комп'ютерних систем Ключові слова: система підтримки прийняття рішень, кібербезпека, слабо формалізовані завдання, інтерпретація ситуації Разработана система поддержки при-нятия решений (СППР) в слабо формали-зуемых задачах обес...
NAS RK is pleased to announce that News of NAS RK. Series of geology and technical sciences scientific journal has been accepted for indexing in the Emerging Sources Citation Index, a new edition of Web of Science. Content in this index is under consideration by Clarivate Analytics to be accepted in the Science Citation Index Expanded, the Social Sciences Citation Index, and the Arts & Humanities Citation Index. The quality and depth of content Web of Science offers to researchers, authors, publishers, and institutions sets it apart from other research databases. The inclusion of News of NAS RK. Series of geology and technical sciences in the Emerging Sources Citation Index demonstrates our dedication to providing the most relevant and influential content of geology and engineering sciences to our community. Қазақстан Республикасы Ұлттық ғылым академиясы "ҚР ҰҒА Хабарлары. Геология жəне техникалық ғылымдар сериясы" ғылыми журналының Web of Science-тің жаңаланған нұсқасы Emerging Sources Citation Index-те индекстелуге қабылданғанын хабарлайды. Бұл индекстелу барысында Clarivate Analytics компаниясы журналды одан əрі the Science Citation Index Expanded, the Social Sciences Citation Index жəне the Arts & Humanities Citation Index-ке қабылдау мəселесін қарастыруда. Webof Science зерттеушілер, авторлар, баспашылар мен мекемелерге контент тереңдігі мен сапасын ұсынады. ҚР ҰҒА Хабарлары. Геология жəне техникалық ғылымдар сериясы Emerging Sources Citation Index-ке енуі біздің қоғамдастық үшін ең өзекті жəне беделді геология жəне техникалық ғылымдар бойынша контентке адалдығымызды білдіреді. НАН РК сообщает, что научный журнал «Известия НАН РК. Серия геологии и технических наук» был принят для индексирования в Emerging Sources Citation Index, обновленной версии Web of Science. Содержание в этом индексировании находится в стадии рассмотрения компанией Clarivate Analytics для дальнейшего принятия журнала в the Science Citation Index Expanded, the Social Sciences Citation Index и the Arts & Humanities Citation Index. Web of Science предлагает качество и глубину контента для исследователей, авторов, издателей и учреждений. Включение Известия НАН РК. Серия геологии и технических наук в Emerging Sources Citation Index демонстрирует нашу приверженность к наиболее актуальному и влиятельному контенту по геологии и техническим наукам для нашего сообщества.
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