SEMANTIC ATTACK PREVENTION: GENERAL DECISION MODEL AND PREVENTION STRATEGIES

Abstract

This publication analyses the vulnerability of entities to socio-technical threats, primarily focusingon semantic attacks. In the present information sphere, which is prominently manifested in theform of social networks, it garners the attention of the majority of individuals. This makes userssusceptible to attacks aimed at extracting key information. The article consists of three parts. Thefirst part introduces the reader to the general issues of semantic threats. Subsequently, using theproposed model, the author analyses the dissymmetry arising from two types of reactions. Thismodel is based on distinguishing between System I, where the subject acts intuitively, and System II,which involves reflection and analysis before decisions are made. The final part of the article presentsvarious preventive measures against semantic attacks. The work is focused on demonstrating variousstrategies for dealing with such attacks. The goal of the publication is to emphasize the importanceof psychological determinants of individual behaviour in the context of functioning in the virtualenvironment and to present prospective preventive approaches intended to minimise semanticthreats. In the development of this article, research methods such as analysis, synthesis, and literaturereview were employed. The results of the conducted research on individuals’ vulnerability tosemantic threats indicate a significant influence of intuitive behaviour on increasing the risk of fallingvictim to such attacks. To reduce this vulnerability, reliance cannot solely be placed on specializedsoftware or tools, as their effectiveness largely depends on human behaviour. Therefore, continuousknowledge expansion as regards those threats through participation in training and the developmentof appropriate habits that promote a more detailed analysis of received content is crucial.