Systematic studies of cryptocurrency usage tools for financial markets
DOI:
https://doi.org/10.20535/SRIT.2308-8893.2024.4.01Keywords:
cryptocurrency exchange rate, cognitive map, mining, impulse processesAbstract
The paper analyzes mining processes when using cryptocurrency on financial exchanges. It considers the cognitive map (CM) of the use of cryptocurrency as a complex system. It reveals all functions of mining processes when interacting with speculative instruments under conditions of uncertainties and risks. Digital modeling of impulse processes in the CM was carried out to study the dynamic properties of the free movement of the tops of the CM under random disturbances.
References
H. Massias, X. Serret Avila, and Quisquater Jean-Jacques, “Design Of A Secure Timestamping Service With Minimal Trust Requirement,” in 20th Symposium on Information Theory in the Benelux, Citeseer, May, 1999.
Satoshi Nakamoto, Bitcoin: A peer-to-peer electronic cash system. 2008. Accessed on: May 2, 2024. [Online]. Available: https://git.dhimmel.com/bitcoin-whitepaper/
Meni Rosenfeld, “Analysis of bitcoin pooled mining reward systems,” arXiv preprint, arXiv:1112.4980. 2011. doi: https://doi.org/10.48550/arXiv.1112.4980
V. Romanenko, Yu. Miliavskyi, and G. Kantsedal, “An adaptive system for stabilizing unstable cryptocurrency rate based on a cognitive map impulse process model,” International Scientific Technical Journal “Problems of Control and Informatics,” 66(2), pp. 11–23. doi: 10.34229/1028-0979-2021-2-2
V. Romanenko, Y. Miliavskyi, and H. Kantsedal, “Application of Impulse Process Models with Multirate Sampling in Cognitive Maps of Cryptocurrency for Dynamic Decision Making,” in M. Zgurovsky and N. Pankratova (eds.) System Analysis & Intelligent Computing: Theory and Applications. Springer International Publishing, Cham, 2022, pp. 115–137. doi: https://doi.org/10.1007/978-3-030-94910-5_7
V. Romanenko, Y. Miliavskyi, and H. Kantsedal, “Stabilization of Impulse Processes of the Cognitive Map of Cryptocurrency Usage with Multirate Sampling and Coordination Between Some Nodes Parameters,” in M. Zgurovsky, N. Pankratova (eds) System Analysis and Artificial Intelligence. Studies in Computational Intelligence, vol. 1107. Springer, Cham, 2023, pp. 83–100. doi: https://doi.org/10.1007/978-3-031-37450-0_5
V. Romanenko, Y. Miliavskyi, and H. Kantsedal, “Automated Control Problems for Dynamic Processes Applied to Cryptocurrency in Finansial Markets,” in Y. Kondratenko, V. Kuntsevich, A.Chikrii, Y. Gubarev (eds.) Recent Developments in Automatic Control Systems. River Publishers, 2022, pp. 417–442. doi: 10.13140/RG.2.2.24246.42561/1
G. Ebrahimpour, M. Sayad Haghighi, “Is Bitcoin Future as Secure as We Think? Analysis of Bitcoin Vulnerability to Bribery Attacks Launched through Large Transactions,” ACM Trans. Priv. Secur., vol. 27, issue 2, Article 14, May 2024, 22 p. doi: https://doi.org/10.1145/3641546
