The article discusses the influence of Blockchain technology on illicit practices in business activities. The alignment of business models for entities related to the trading platform indicates the need for the diffusion of innovation and Blockchain adaptation. We use Blockchain to identify trends, patterns, anomalies, and exceptions to given financial transactions performed. Such transactions require security, which is significant when trading cryptocurrencies. Cryptocurrency trading requires wallets to manage and conduct transactions. The paper compares commonly used protocols regarding a critical feature of the smart market. We set together cryptographic networks to ensure the confidentiality of senders, recipients, amounts, and balances. The paper also confronts the most popular mechanisms for achieving consensus. The trust mechanism for the intelligent market is based on Blockchain, which allows the trade of resources using trust assessment. This model quantifies participants’ confidence scores based on previous confidence scores, feedback, and engagement. The predictive machine learning model is the basis for rapid response to suspicious transactions. The research indicates that mobile payment providers should adjust their role in the ecosystem to scale the platform, depending on geographic accessibility. In addition, the mutual adaptation of business models concerning actors linked to the platform leads to better dissemination of the platform's offerings. The Blockchain-based platform can overcome the challenges of fragmentation of expertise over multiple platforms and difficulty preventing cheating.

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Exploring Blockchain’s Influence on Illicit Practices: A Comprehensive Analysis

  • Jerzy Krawiec,
  • Paweł Gepner,
  • Leonid Moroz,
  • Piotr Górny,
  • Maciej Kiedrowicz

摘要

The article discusses the influence of Blockchain technology on illicit practices in business activities. The alignment of business models for entities related to the trading platform indicates the need for the diffusion of innovation and Blockchain adaptation. We use Blockchain to identify trends, patterns, anomalies, and exceptions to given financial transactions performed. Such transactions require security, which is significant when trading cryptocurrencies. Cryptocurrency trading requires wallets to manage and conduct transactions. The paper compares commonly used protocols regarding a critical feature of the smart market. We set together cryptographic networks to ensure the confidentiality of senders, recipients, amounts, and balances. The paper also confronts the most popular mechanisms for achieving consensus. The trust mechanism for the intelligent market is based on Blockchain, which allows the trade of resources using trust assessment. This model quantifies participants’ confidence scores based on previous confidence scores, feedback, and engagement. The predictive machine learning model is the basis for rapid response to suspicious transactions. The research indicates that mobile payment providers should adjust their role in the ecosystem to scale the platform, depending on geographic accessibility. In addition, the mutual adaptation of business models concerning actors linked to the platform leads to better dissemination of the platform's offerings. The Blockchain-based platform can overcome the challenges of fragmentation of expertise over multiple platforms and difficulty preventing cheating.