Library Science. Record Studies. Informology

All articles from the issue

Keywords: application performance evaluation; load testing; client-server architecture; quantitative and qualitative metrics collection; testbed configuration; modular architecture; throughput and latency measurement

Framework for the comparative analysis of networking software libraries and its application to C++ networking solutions

Yehor Hrushevyy*, Kostiantyn Zhereb

yegorgru@gmail.com

https://doi.org/10.62660/bcstu/3.2025.10

Suggested citation

Hrushevyy, Ye., & Zhereb, K. (2025). Framework for the comparative analysis of networking software libraries and its application to C++ networking solutions. Bulletin of Cherkasy State Technological University, 30(3), 10-23. https://doi.org/10.62660/bcstu/3.2025.10

15.09.2025
1,370 Views
Library Science. Record Studies. Informology - Volume 30, No. 3, 2025

Keywords: Advanced Encryption Standard; ChaCha20; Rivest-Shamir-Adleman; Elliptic Curve Cryptography; Android; iPhone Operating System

Development and testing of the effectiveness of hybrid cryptographic algorithms for protecting personal data in mobile applications

Vitalii Yasenenko*

vitalii-yasenenko395@hotmail.com

https://doi.org/10.62660/bcstu/3.2025.24

Suggested citation

Yasenenko, V. (2025). Development and testing of the effectiveness of hybrid cryptographic algorithms for protecting personal data in mobile applications. Bulletin of Cherkasy State Technological University, 30(3), 24-36. https://doi.org/10.62660/bcstu/3.2025.24

15.09.2025
1,318 Views
Library Science. Record Studies. Informology - Volume 30, No. 3, 2025

Keywords: IP telephony; SIP; Asterisk; neural network; cybersecurity

A method for detecting DDoS attacks in VoIP systems based on machine learning

Viktor Gnatyuk*, Ivan Gorbachov

viktor.hnatiuk@npp.kai.edu.ua

https://doi.org/10.62660/bcstu/3.2025.37

Suggested citation

Gnatyuk, V., & Gorbachov, I. (2025). A method for detecting DDoS attacks in VoIP systems based on machine learning. Bulletin of Cherkasy State Technological University, 30(3), 37-46. https://doi.org/10.62660/bcstu/3.2025.37

15.09.2025
1,159 Views
Library Science. Record Studies. Informology - Volume 30, No. 3, 2025

Keywords: machine learning algorithms; hybrid analysis models; intrusion detection and prevention systems; software verification automation; application interface protection; attack simulation scenarios

Possibilities and limitations of artificial intelligence in vulnerability testing: Effectiveness of the approach as opposed to traditional pentesting

Igor Rudenko*

igorudenko4875@outlook.com

https://doi.org/10.62660/bcstu/3.2025.47

Suggested citation

Rudenko, I. (2025). Possibilities and limitations of artificial intelligence in vulnerability testing: Effectiveness of the approach as opposed to traditional pentesting. Bulletin of Cherkasy State Technological University, 30(3), 47-60. https://doi.org/10.62660/bcstu/3.2025.47

15.09.2025
1,386 Views
Library Science. Record Studies. Informology - Volume 30, No. 3, 2025

Keywords: intelligent regulation; adaptive control; fuzzy inference algorithms; urban mobility; traffic signal automation; linguistic variable

Application of fuzzy logic to manage traffic flows in cities

Vladyslav Varnava*, Olexiy Silagin

Vladyslav.varnava@gmail.com

https://doi.org/10.62660/bcstu/3.2025.61

Suggested citation

Varnava, V., & Silagin, О. (2025). Application of fuzzy logic to manage traffic flows in cities. Bulletin of Cherkasy State Technological University, 30(3), 61-69. https://doi.org/10.62660/bcstu/3.2025.61

15.09.2025
1,152 Views
Library Science. Record Studies. Informology - Volume 30, No. 3, 2025

Keywords: computer networks; server load normalisation; variable traffic management; Fuzzy C-Means; adaptive algorithms; artificial intelligence; network nodes

Network load balancing method based on fuzzy clusterisation

Dmytro Kulchytskyi*, Yevhen Zhukov

dima01062009@gmail.com

https://doi.org/10.62660/bcstu/3.2025.70

Suggested citation

Kulchytskyi, D., & Zhukov, Ye. (2025). Network load balancing method based on fuzzy clusterisation. Bulletin of Cherkasy State Technological University, 30(3), 70-79. https://doi.org/10.62660/bcstu/3.2025.70

15.09.2025
1,139 Views
Library Science. Record Studies. Informology - Volume 30, No. 3, 2025

Keywords: decision support system; Bayesian aggregation; adaptive weight coefficients; case-based failure analysis; probabilistic metric; similarity of technical conditions

Adaptive similarity assessment metric for intelligent failure diagnostics in ship power plants

Vladimir Vychuzhanin*, Alexey Vychuzhanin

v.v.vychuzhanin@op.edu.ua

https://doi.org/10.62660/bcstu/3.2025.80

Suggested citation

Vychuzhanin, V., & Vychuzhanin, A. (2025). Adaptive similarity assessment metric for intelligent failure diagnostics in ship power plants. Bulletin of Cherkasy State Technological University, 30(3), 80-92. https://doi.org/10.62660/bcstu/3.2025.80

15.09.2025
1,041 Views
Library Science. Record Studies. Informology - Volume 30, No. 3, 2025

Keywords: data analysis; machine learning; unsupervised learning; automatic object grouping; segmentation

Study of the impact of different categorical feature encoding techniques on cluster structures

Natalia Kondruk*, Inna Neroda

natalia.kondruk@uzhnu.edu.ua

https://doi.org/10.62660/bcstu/3.2025.93

Suggested citation

Kondruk, N., & Neroda, I. (2025). Study of the impact of different categorical feature encoding techniques on cluster structures. Bulletin of Cherkasy State Technological University, 30(3), 93-105. https://doi.org/10.62660/bcstu/3.2025.93

15.09.2025
993 Views
Library Science. Record Studies. Informology - Volume 30, No. 3, 2025

Keywords: adaptive relearning; generative transformers; dynamic model adaptation; Python implementation; hybrid learning; quality assessment metrics; language model stability

Continuous feedback loops: Online fine-tuning of LLMs with user signals

Sofiia Shvets*

s_shvets568@hotmail.com

https://doi.org/10.62660/bcstu/3.2025.106

Suggested citation

Shvets, S. (2025). Continuous feedback loops: Online fine-tuning of LLMs with user signals. Bulletin of Cherkasy State Technological University, 30(3), 106-120. https://doi.org/10.62660/bcstu/3.2025.106

15.09.2025
1,165 Views
Library Science. Record Studies. Informology - Volume 30, No. 3, 2025

Keywords: natural language processing; long short term memory; architecture of spam; messages; metric

Adaptive hybrid SMS spam detection system with user feedback-based self-learning

Ihor Liakh, Andrii Chorniy*, Oksana Lutak, Marian Tsenkner

a.chornii@chdtu.edu.ua

https://doi.org/10.62660/bcstu/3.2025.121

Suggested citation

Liakh, I., Chorniy, A., Lutak, О., & Tsenkner, M. (2025). Adaptive hybrid SMS spam detection system with user feedback-based self-learning. Bulletin of Cherkasy State Technological University, 30(3), 121-132. https://doi.org/10.62660/bcstu/3.2025.121

15.09.2025
1,043 Views
Library Science. Record Studies. Informology - Volume 30, No. 3, 2025

Issue

Volume 30, No. 3, 2025

All articles from the issue