Chinibayeva Tolganay T.

@iitu.edu.kz

Computer Engeenering, IITU
International IT University

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Hardware and Architecture, Artificial Intelligence, Software
18

Scopus Publications

Scopus Publications

  • Pedagogical conditions for training future specialists to use aviation profiling in professional activities
    Ceur Workshop Proceedings, 2026
  • Justification of a software-integrated system of technical devices for dust and gas mixture removal from the chimney of a coal-fired thermal power plant
    Ceur Workshop Proceedings, 2026
  • Analyzing Russian borrowings in Kazakh social media using machine learning
    Ceur Workshop Proceedings, 2025
  • Development of Deposits of Solid Mineral Resources by the Open Method in Various Conditions of Mining and Geological Deposits
    S. Kaimov, Talgat Kaiym, A. Tuleshov, Nazym Kanagatova, Askar Seidakhmet, et al.
    Lecture Notes in Civil Engineering, 2025
  • Integrating deep learning and reinforcement learning into a digital twin architecture for medical predictions.
    Nursultan Alpysbay, Kateryna Kolesnikova, Tolganay Chinibayeva
    Procedia Computer Science, 2024
  • Analysis of Major Factors Preventing Cybercrime Reduction in Kazakhstan
    Ceur Workshop Proceedings, 2024
  • Blockchain Technology in the Field of Music Industry
    Ceur Workshop Proceedings, 2024
  • Binary Rainfall Classification using SMOTE: An Effective Machine Learning Strategy
    Ceur Workshop Proceedings, 2024
  • Game-Theory Model of a Two-Level Hierarchical Game with Distributed Control
    Serhii Chernov, Serhii Titov, Liudmyla Chernova, Liubava Chernova, Tolganay Chinibayeva, et al.
    Sist 2024 2024 IEEE 4th International Conference on Smart Information Systems and Technologies Proceedings, 2024
    Synergic soundness of combining activities of competence points at managing a particular item being a player in a hierarchical game was confirmed as per the game and theoretical pattern. An arbitrary set comprising a couple of points of intelligence was studied as a bi-level hierarchical game. Authors have scrutinized all prerequisites for antagonism and game equilibrium, they have confirmed the efficiency of strategies of merger or cooperation of the player management centers in a system with distributed control. The thesis is exploring the elaborated methodology of investigating propositions raised by crew personnel towards precluding contradictory statuses within the phase of the crew foundation. The scrutinized procedure is built-up on fundamentals of the game and theory ideas. Controversies among multiple crew players basically emerge during the crew establishing period. For a program leader, the main assignment is to reveal a deviating status beforehand enough and to discover a path forward to solve the same for the benefit of every crew player and with no injury to the crew activities in the whole. A crew that was constituted towards fulfilment of a joint project frequently faces a position in which a couple of players involved in it form their deviating opinion about the concepts of the ultimate produce establishing. In that situation, either of the players possesses a vast knowledge in elaborating produces and activities of such kind in a series of crews belonging to their practical skills.
  • Efficient Internet-of-Things Cyberattack Depletion Using Blockchain-Enabled Software-Defined Networking and 6G Network Technology
    Abdul Razaque, Joon Yoo, Gulnara Bektemyssova, Majid Alshammari, Tolganay T. Chinibayeva, et al.
    Sensors, 2023
    Low-speed internet can negatively impact incident response by causing delayed detection, ineffective response, poor collaboration, inaccurate analysis, and increased risk. Slow internet speeds can delay the receipt and analysis of data, making it difficult for security teams to access the relevant information and take action, leading to a fragmented and inadequate response. All of these factors can increase the risk of data breaches and other security incidents and their impact on IoT-enabled communication. This study combines virtual network function (VNF) technology with software -defined networking (SDN) called virtual network function software-defined networking (VNFSDN). The adoption of the VNFSDN approach has the potential to enhance network security and efficiency while reducing the risk of cyberattacks. This approach supports IoT devices that can analyze large volumes of data in real time. The proposed VNFSDN can dynamically adapt to changing security requirements and network conditions for IoT devices. VNFSDN uses threat filtration and threat-capturing and decision-driven algorithms to minimize cyber risks for IoT devices and enhance network performance. Additionally, the integrity of IoT devices is safeguarded by addressing the three risk categories of data manipulation, insertion, and deletion. Furthermore, the prioritized delegated proof of stake (PDPoS) consensus variant is integrated with VNFSDN to combat attacks. This variant addresses the scalability issue of blockchain technology by providing a safe and adaptable environment for IoT devices that can quickly be scaled up and down to pull together the changing demands of the organization, allowing IoT devices to efficiently utilize resources. The PDPoS variant provides flexibility to IoT devices to proactively respond to potential security threats, preventing or mitigating the impact of cyberattacks. The proposed VNFSDN dynamically adapts to the changing security requirements and network conditions, improving network resiliency and enabling proactive threat detection. Finally, we compare the proposed VNFSDN to existing state-of-the-art approaches. According to the results, the proposed VNFSDN has a 0.08 ms minimum response time, a 2% packet loss rate, 99.5% network availability, a 99.36% threat detection rate, and a 99.77% detection accuracy with 1% malicious nodes.
  • Justification of the Project Initiation Process Using the Markov Model
    Kateryna Kolesnikova, Nursultan Alpysbay, Tetiana Olekh, Tolganay Chinibayeva
    Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs, 2023
  • Using Project Management Tools in the Process of Modernizing the Healthcare System of the Republic of Kazakhstan
    Ceur Workshop Proceedings, 2022
  • Model, data integration algorithms of information systems based on ontology
    Journal of Theoretical and Applied Information Technology, 2021
  • Development of practical tasks in physics with elements of augmented reality for secondary educational institutions
    Yevgeniya Daineko, Madina Ipalakova, Dana Tsoy, Akmedi Shaipiten, Zhiger Bolatov, et al.
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
  • Recursive decomposition as a method for integrating heterogeneous data sources
    R. Uskenbayeva, Young Im Cho, G. Bektemyssova, Z. Uskenbayeva, T. Temirbolatova, et al.
    Iccas 2015 2015 15th International Conference on Control Automation and Systems Proceedings, 2015
  • Notice of Removal: Application process mining techniques to optimize the business process models based on information systems issuing licenses and permits e-license: Practical research
    R. Uskenbayeva, B. Kurmangaliyeva, D. Shynybekov, T. Temirbolatova
    2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan SICE 2015, 2015
  • Integrating of data using the Hadoop and R
    Raissa Uskenbayeva, abu Kuandykov, Young Im Cho, Tolganay Temirbolatova, Saule amanzholova, et al.
    Procedia Computer Science, 2015
  • Technology of integration of diverse databases on the example of medical records
    R. Uskenbayeva, Y. Chinibayev, A. Kassymova, T. Temirbolatova, K. Mukhanov
    International Conference on Control Automation and Systems, 2014