Control Systems and Computers, N1, 2023, Article 5
https://doi.org/10.15407/csc.2023.01.065
Control Systems and Computers, 2023, Issue 1 (301), pp. 65-72.
UDC 004.822
V.V. ZOSIMOV, Doctor of Technical Sciences, Professor, Department of Applied Information Systems, Taras Shevchenko National University of Kyiv, Bohdan Hawrylyshyn, str. 24, Kyiv, 04116, Ukraine, Scopus Author ID 57188682230, ORCID: https://orcid .org/ 0000-0003-0824-4168, zosimovvv@gmail.com
ENHANCING ONLINE SEARCH SECURITY THROUGH BAYESIAN TRUST NETWORK IMPLEMENTATION
The article focuses on the development of an information search and protection system based on a Bayesian trust network as a measure of document relevance to the user’s query. The result is the development of search system structures and algorithms with relevance evaluation when searching the Internet, the implementation of data transmission with an adaptive database for storing decisions. If the need arises, when the goal set before the user cannot be achieved without involving additional information, the adaptive database sends a request to the search system, which in turn collects the necessary information. Mathematical formalization of the definition of relevant decisions was carried out. A graph was modelled, which was built based on Bayesian Trust Networks (BTN) in the GeNIe application package.
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Keywords: Bayesian Trust Networks, Internet search, Relevance ranking, Query processing, online privacy.
- Gallego, C., 2018. “A review of Bayesian deep learning techniques and their application to computer vision problems”. Big Data Analytics, IGI Global, pp. 11-25.
- Guo, C., 2017. “Deep Bayesian active learning for neural networks”. Journal of Machine Learning Research, Vol. 18, pp. 1-47.
- Pelt, M., 2019. “Uncertainty quantification in deep learning using Bayesian convolutional neural networks”. Journal of Computer Vision. Vol. 126, pp. 617-635.
- Sattari, P., 2020. “Bayesian deep reinforcement learning: A survey”. Journal of Machine Learning Research, Vol. 21, pp. 1-35.
- Zosimov, V., Bulgakova, O., Pozdeev, V., 2021. “Complex internet data management system”. Advances in Intelligent Systems and Computing. Vol.1246, pp. 639-652.
https://doi.org/10.1007/978-3-030-54215-3_41 - Zosimov, V., Bulgakova, O., 2020. “Calculation the Measure of Expert Opinions Consistency Based on Social Profile Using Inductive Algorithms”. Advances in Intelligent Systems and Computing. Vol. 1020, pp. 622-636.
https://doi.org/10.1007/978-3-030-26474-1_43 - Nalisnick, M., 2019. “Deep Bayesian neural networks with many irrelevant inputs”. Proceedings of the 35th International Conference on Machine Learning. Vol. 97, pp. 1748-1757.
- Hron, J., 2018. “Probabilistic programming for deep learning: A review”. Machine Learning Research. Vol. 19, pp. 1-41.
Received 12.02.2023
