Convergence of Blockchain and Traditional Web Technologies for High-Performance Systems

Authors

  • Andrii Polianskyi Lviv Polytechnic National University, Ukraine

DOI:

https://doi.org/10.5281/zenodo.15745792

Keywords:

blockchain, WebAssembly, secure front-end, AI, Zero Trust

Abstract

The convergence of blockchain with traditional web technologies enables the creation of high-performance and secure systems tailored for today’s dynamic digital landscape. This paper explores how combining WebAssembly, confidential computing, adaptive front-end automation, and blockchain enhances system integrity, efficiency, and data protection. Using analytical models and real-world case studies, the research quantifies productivity improvements and interprets security gains. The findings illustrate a significant performance uplift in convergent systems versus isolated approaches. This work serves as a foundation for building decentralized and adaptive web infrastructures that leverage Zero Trust principles and intelligent user interaction.

References

Drofa, D. (2023). Integrate Bio-Identification to Strengthen Data Protection in Multi-Tenant Cloud Systems. Global Innovations and Collaborative Solutions in Contemporary Science, 444–447. Futurity Research Publishing. https://futurity-publishing.com/wp-content/uploads/2025/03/International_scientific_conference-.pdf#page=444

Drofa, D. (2024). Using Machine Learning to Forecast Resources in Long-Term Business Projects. Horizons of Innovation: Conference on Multidisciplinary Trends in Science 2024, 395–398. https://futurity-publishing.com/wp-content/uploads/2025/03/Drofa-D.-2024.pdf

Drofa, D. (2025). Optimization of software development processes through the use of full-stack technologies and automation. Contemporary Issues in Artificial Intelligence, 1. https://doi.org/10.69635/ciai.2025.12

Horbenko, Y. (2025a). Web Assembly and Blockchain for High-Performance Secure Front-End Systems. International Journal of Current Science Research and Review, 8(5), 2279–2285. https://doi.org/10.47191/ijcsrr/V8-i5-36

Horbenko, Y. (2025b). Confidential Computing in Front-End: Enhancing Data Security with Secure Enclaves and Homomorphic Encryption. International Journal of Advanced Multidisciplinary Research and Studies, 5(3), 308–321. https://www.multiresearchjournal.com/admin/uploads/archives/archive-1747130538.pdf

Horbenko, Y. (2025c). Secure Front-End Automation Framework: A Novel Approach to Client-Side Data Encryption and Zero Trust API Interaction. Asian Journal of Research in Computer Science, 18(6), 177–193. https://doi.org/10.9734/ajrcos/2025/v18i6690

Horbenko, Y. (2025d). AI-Powered UI adaptation and data Automation in secure Front-End Systems. International Journal of Development Research, 15(05), 68383–68388. https://journalijdr.com/ai-powered-ui-adaptation-and-data-automation-secure-front-end-systems

Hunko, I. (2025a). Adaptive Approaches to Software Testing with Embedded Artificial Intelligence in Dynamic Environments. International Journal of Current Science Research and Review, 8(5). https://doi.org/10.47191/ijcsrr/V8-i5-10

Hunko, I. (2025b). Optimize Mobile App Testing Using Machine Learning to Improve User Experience. Asian Journal of Research in Computer Science, 18(5), 403–418. https://doi.org/10.9734/ajrcos/2025/v18i5663

Hunko, I., Muliarevych, O., Trishchuk, R., Zybin, S., & Halachev, P. (2024). The role of virtual reality in improving software testing methods and tools. Journal of Theoretical and Applied Information Technology, 102(11), 4723–4734. https://www.jatit.org/volumes/Vol102No11/6Vol102No11.pdf

Pavlovskyi, M. (2024). The Improvement of Fuel Efficiency and Environmental Characteristics of Diesel Engine by Using Biodiesel Fuels. In Boichenko, S., Zaporozhets, A., Yakovlieva, A., & Shkilniuk, I. (Eds.), Modern Technologies in Energy and Transport. Studies in Systems, Decision and Control, vol. 510. Springer. https://doi.org/10.1007/978-3-031-44351-0_4

Downloads

Published

2025-06-19

Issue

Section

Computer science, computing and automation