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Analysis of the Security and Reliability of Cryptocurrency Systems Using Knowledge Discovery and Machine Learning

Zeinab Shahbazi¹, Yung-Cheol Byun²

¹Department of Mathematics & Informatics, University of Barcelona, 08007 Barcelona, Spain.

Sensors (Basel, Switzerland)

|December 11, 2022

Summary

This study introduces an AI-driven architecture using blockchain for secure cryptocurrency transactions. It enhances Bitcoin network performance and security through decentralized AI consensus and network analysis.

Keywords:

artificial intelligence blockchain cryptocurrency knowledge discovery machine learning

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Area of Science:

Computer Science
Artificial Intelligence
Blockchain Technology
Cybersecurity

Background:

Cryptocurrencies like Bitcoin utilize blockchain for secure transaction recording.
Artificial Intelligence (AI) offers significant potential across industries due to large data processing capabilities.
Current AI systems lack explainability and are vulnerable to adversarial attacks, posing challenges for decision-making standards.

Purpose of the Study:

To propose a trustworthy AI-based architecture for enhancing cryptocurrency transactions.
To leverage decentralized blockchain features like smart contracts and trust oracles within the AI framework.
To improve the performance, security, and transaction processing of the Bitcoin network using AI.

Main Methods:

Development of an AI-based architecture integrating decentralized blockchain characteristics.
Implementation of smart contracts and trust oracles for secure AI decision-making.
Utilizing AI for decentralized consensus among AI predictors and transactional network analysis.

Main Results:

The proposed system enables secure cryptocurrency transactions through decentralized AI consensus.
AI-driven network analysis significantly enhances the Bitcoin network's performance and security.
The system demonstrated highly accurate output compared to existing state-of-the-art methods.

Conclusions:

The integration of AI with blockchain offers a robust solution for secure and efficient cryptocurrency transactions.
The proposed architecture addresses AI explainability and adversarial attack vulnerabilities.
This approach shows promise for advancing the security and performance of blockchain-based financial systems.