An intelligent information system for proactive management of a printing enterprise based on artificial intelligence is proposed. Approaches to proactive enterprise management grounded in Industry 4.0/5.0 are substantiated, including the use of relevant scientific methods and mathematical models. The architecture of the information system, based on mathematical models and scientific principles, has been developed. The results of evaluating the effectiveness of implementing and using this intelligent information system at a printing enterprise are presented.
This paper proposes a unified conceptual framework for cyber threat assessment in socio-cyber-physical systems (SCPS). The framework integrates a hybrid and synergistic threat classifier with an objective evaluation of attacker capabilities, including financial, computational, and energy resources. By systematically addressing the complexities of targeted attacks and social engineering vectors, the proposed methodology bridges the gap between conceptual modeling and practical vulnerability assessment in critical infrastructure facilities. The study introduces a quantitative metric for information secrecy, treating information as an economic asset to evaluate potential destructive impacts on business continuity. Consequently, this approach not only quantifies potential information losses but also identifies the optimal configuration of security system elements required to guarantee regulatory compliance and a predefined security level. Ultimately, the contribution highlights a coherent strategy for dynamically assessing the current security state of critical infrastructure in conjunction with predictive threat analysis.
This paper discusses methods for controlling the locality of microwave diagnostics of small objects using resonator aperture sensors with coaxial symmetry. The paper presents the results of a study of the electrodynamic properties of coaxial resonator probes developed for local microwave diagnostics of physical objects. An analysis of the factors that in-fluence the depth of penetration of the electromagnetic field into the object under study was carried out. Attention is paid to analyzing the influence of the aperture assembly geometry on the sensor's measurement signals and the electrodynamics of processes within the model, which was developed using a numerical method. The influence of the gap in the probe-object system, as well as the tip size and shape, on the field distribution of a classic quarter-wave resonator measuring transducer is demonstrated. The results of a study of a compact version of the coaxial probe are presented. The effect of reducing the storage section of the resonator on the field distribution in the object under study is demonstrated. It is shown how significantly the electric field energy and the achievable locality of measurements change when filling the storage section of the resonator with fluoroplastic.
The process of managing cybersecurity operations that include continuous monitoring, detection, analysis, and response to cyber threats, aimed at protecting the organization's digital assets, has been investigated in this study. The task addressed is to improve the efficiency and speed of automated incident response by combining deterministic pre-filtering tools with the cognitive capabilities of language models (LLMs). In the course of the research, an architecture of a multi-agent information security management system (MAS-ISM) has been designed, which operates on the basis of decentralized coalition auctions and a hybrid risk analysis subsystem (Sandwich Engine) for express search of incidents in system event logs for automated generation of expert reports in the state language using the generation technology supplemented by Retrieval-Augmented Generation (RAG) and LLM search. The solution to the tasks of obtaining technical cybersecurity reports in the state language and recommendations for further decision-making by the analyst has been shown. The main difference of the hybrid risk assessment system from existing ones is the use of deterministic retrospective session isolation, which made it possible to ensure data confidentiality, automatic expert description of the current state of cybersecurity in the national language, and the compilation of recommendations for analysts. The research results are attributed to the combined use of AI methods: RAG technology, deterministic retrospective session isolation, and LLM. The total time for analyzing one complex incident and forming a structured expert SOC report in the state language was reduced to 12 seconds (compared to 15–45 minutes under traditional manual analysis), while guaranteeing the confidentiality of critical data from leakage into the public cloud circuit
In the work are presented mathematical calculations and software implementation of steganography's methods based on the use of residual printing artefacts. The software implementation was developed using the C++ language (ISO/IEC 14882:2024 standard) and the PoDoFo library for the manipulation of PDF file structure. Furthermore, an algorithm for dynamic calculation of artefact coordinates is proposed, using stochastic displacement to avoid the appearance of visual patterns and preserve the effect of their natural formation. The testing results have confirmed the practical implementation of the proposed theoretical model.
