
Psychological readiness and ontologies in security of digital multilevel distributed systems
Author(s) -
Olga Aleksandrovna Kosolapova
Publication year - 2021
Publication title -
personality and society
Language(s) - English
Resource type - Journals
ISSN - 2712-8024
DOI - 10.46502/issn.2712-8024/2021.3.2
Subject(s) - computer science , ontology , metadata , knowledge management , process (computing) , data science , semantics (computer science) , big data , world wide web , data mining , philosophy , epistemology , programming language , operating system
Information, computer environments and systems require not only technological, but also psychological, neuro-linguistic support. The evolution of a digital, competency-based society requires the active introduction of information and communication technologies in all key areas (e-government, e-learning, e-business, etc.). There is also a negative impact of such an evolutionary process, for example, the emergence of IT risks and threats to the individual, society and society. It is also possible to strengthen the information confrontation, hybrid war, "Trojan training", etc. It is very important to ensure the security of multilevel distributed information structures of the digital economy. The article discusses the systemic analysis of this problem, explores some specific aspects and tasks, in particular the use of ontologies and formalization. System-synergistic analysis of psychological readiness and its support by ontological approach was carried out. System objectives of network attacks and psychological influences in conditions of evolution of distributed infological system are revealed. A general model of system security ontology in a formal-semantic and infological form is proposed. Everything is implemented based on the semantics of controlled process metadata (Resource Description Framework), metadata prediction languages (Ontology Language), ontology standards, analytics, "parallelization" of knowledge and updating of knowledge bases, Big Data, Data Mining, Social Mining, Data Centers, multi-agent and other systems.