IDENTIFYING PATTERNS AND MECHANISMS OF AI INTEGRATION IN BLOCKCHAIN FOR E-VOTING NETWORK SECURITY


Jumagaliyeva A. Abdykerimova E. Turkmenbayev A. Serimbetov B. Muratova G. Yersultanova Z. Zhiyembayev Z.
2024Technology Center

Eastern-European Journal of Enterprise Technologies
2024#4Issue 2(130)6 - 18 pp.

The study focuses on the enhancement of e-voting blockchain network security through the integration of artificial intelligence. The critical problem addressed is the existing limitations in real-time threat detection and anomaly detection within blockchain transactions. These limitations can compromise the integrity and security of blockchain networks, making them vulnerable to attacks and fraudulent activities. The core results of the research include the development and implementation of sophisticated AI algorithms designed to enhance the monitoring of blockchain transactions and the auditing of smart contracts. These AI-driven advancements introduce unique features, such as the capability to detect and respond to security threats and anomalies in real-time. This significantly strengthens and optimizes the security frameworks of blockchainsystemsine-voting. These results are explained by the strategic application of machine learning and natural language processing methodologies. By employing these advanced AI techniques, the study has achieved more accurate and efficient threat detection, thereby addressing the security challenges previously mentioned. The practical applications of these findings are extensive and diverse. Enhanced security mechanisms can be utilized in financial transactions, supply chain management, and decentralized applications, providing a robust framework for improved blockchain-based e-voting security. In conclusion, integrating AI into blockchain security mechanisms addresses current limitations in threat detection and offers a scalable and effective solution for future security challenges Copyright

artificial intelligence , blockchain , e-voting , network security , optimization , smart contracts

Text of the article Перейти на текст статьи

Department of Computer Science, Kazakhstan
Department of Fundamental Sciences, Kazakhstan
Department of Information Technology, S.Seifullin Kazakh Agrotechnical Research University, Zhenis ave., 62, Astana, 010011, Kazakhstan
Department of Physics, Mathematics and Digital Technology, Non-Profit Limited Company “Akhmet Baitursynuly Kostanay Regional University, Baitursynov str., 47, Kostanay, 110000, Kazakhstan
Department of Mathematics and Computer Science, Zhetysu University named after Ilyas Zhansugurov, Zhansugurov str., 187a, Taldykorgan, 040009, Kazakhstan
Department of Information Technology, K.Kulazhanov Kazakh University of Technology and Business, K. Mukhamedkhanova ave., 37a, Astana, 010000, Kazakhstan
Caspian State University of Technology and Engineering named after Sh. Yessenov, Microdistrict, 32, Aktau, 130000, Kazakhstan

Department of Computer Science
Department of Fundamental Sciences
Department of Information Technology
Department of Physics
Department of Mathematics and Computer Science
Department of Information Technology
Caspian State University of Technology and Engineering named after Sh. Yessenov

10 лет помогаем публиковать статьи Международный издатель

Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026