A multifactor model of countering targeted attacks within the framework of an infinite antagonistic game scheme
Year: 2026
Type: article
Abstract: A multifactor model for countering targeted attacksis developed. This model considers the parties' financial resources(FRs) in an infinite antagonistic game framework. The model helpsto make rational decisions on allocating FRs for cybersecurityunder the threat of APT attacks. The proposed model allows fordetermining the game's value and assessing the degree of risk whenusing optimal mixed strategies for FRs. Optimal mixed strategiesrefer to a combination of strategies that maximize the player'sexpected payoff, taking into account the opponent's strategies. Thisconcept is essential for analyzing the financial aspects of counteringAPT attacks. The relevance of the research is due to the growingnumber of targeted attacks on critical infrastructure objects.Computational experiments visualize the game's results, which ishelpful for cybersecurity analysts. The solution to such a problemcontributes to the analytical search for the game's meaning. Itmakes it possible to find the characteristics of the degree of risk ofthe players reaching the target when they apply optimal mixedstrategies. The found solution contributes to the analysis of thesituation with counteraction to the party attacking various objects,including critical ones, with the help of APT attacks.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $115
OpenAlex ID: W7163140761