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Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)

Annals of Computer Science and Information Systems, Volume 43

AI Software Security for Smart Environment in a Dynamically Changing Knowledge Management Strategy

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DOI: http://dx.doi.org/10.15439/2025F0792

Citation: Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 43, pages 771–776 ()

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Abstract. The theory of smart environments assumes a diversity of human-supporting solutions that interact with each other and are oriented towards applying artificial intelligence. Concepts such as digital twin, software agent, and machine learning can aid the creation of smart environments by supporting the design and simulation of device behaviors. This article aimed to conduct research addressing the following question: How does multi-agent software impact (1) smart grid security, (2) smart grid adaptability, and (3) smart grid user-friendliness? The paper's research findings discussed the AI-based knowledge management model in the context of the GRAI framework usage, which stands for Generative, Receptive Artificial Intelligence, and presents a proposal of an updated model that takes into account recent developments regarding GenAI and its consequences for KM. Based on the conducted research, an algorithm for collecting information from devices was proposed and used in a simulation based on the Isolation Forest algorithm.

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