Abstract
In this article, an intelligent method for identifying possible threats to other information systems based on blockchain technology has been developed. This intelligent method is built on the basis of the theory of fuzzy neural network and uses a database trained to detect cryptoattacks on information systems. The system performs complex calculation and decision-making process by studying the given data. Verifies the authenticity of blockchain blocks and transactions. Forms a risk database of the general information system and applies security measures accordingly. In addition, the article presents the risks to financial information systems and their types, models for identifying risks to information security. A fuzzy neural network-based method for determining possible risks has been developed. The results were obtained by implementing the Matlab package program. In the conclusion of the study, the safety and economic efficiency of this method has been proven.
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Juraev, G.U., Kuvonchbek, R., Toshpulov, B. (2023). Application Fuzzy Neural Network Methods to Detect Cryptoattacks on Financial Information Systems Based on Blockchain Technology. In: Koucheryavy, Y., Aziz, A. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2022. Lecture Notes in Computer Science, vol 13772. Springer, Cham. https://doi.org/10.1007/978-3-031-30258-9_9
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