Blockchain technology as a tool for countering illicit use of website access

Abstract

This paper introduces an innovative approach to cybersecurity, integrating blockchain technology with economic analysis to address the burgeoning challenges in website security, such as unauthorized access and data breaches. The study delves into the existing security measures, highlighting their limitations and proposing a robust solution through the unique features of blockchain, like immutability, decentralized data storage, and cryptographic encryption. To analyze the distribution of access to web resources, it employs the Gini coefficient and the Lorenz curve, which aids in identifying potential vulnerabilities and provides a quantitative foundation for evaluating the security system’s effectiveness. In a significant advancement, the paper describes the creation of a Unified Modeling Language (UML) diagram and a class structure design to conceptualize the integration of blockchain and economic analysis within the cybersecurity framework. Additionally, it discusses the development of a Python-based algorithm, illustrating its functionality and efficiency in real-world scenarios. The algorithm’s performance was meticulously tested using authentic data sets, with the results demonstrating a marked improvement in websites’ ability to counteract cyber threats. By incorporating practical aspects such as UML schematics, class structure development, and Python coding into the research, this paper not only proposes a theoretical model but also showcases its application potential. The research has substantial practical implications, offering a new paradigm for website protection across diverse web applications, including corporate portals and e-commerce. It also makes a pivotal contribution to the academic community, merging cybersecurity, blockchain technology, and economic analysis, and opening new avenues for future research.