Secure Digital Asset Transactions: Integrating Distributed Ledger Technology with Safe AI Mechanisms

Qishuo Cheng; Yulu Gong; Yang Qin; Xiang Ao; Zhenglin Li

doi:10.54097/2qhab557

Authors

Qishuo Cheng
Yulu Gong
Yang Qin
Xiang Ao
Zhenglin Li

DOI:

https://doi.org/10.54097/2qhab557

Keywords:

Distributed ledger technology (DLT), Artificial intelligence (AI), digital asset trading, security, privacy.

Abstract

This paper explores the integration of distributed ledger technology (DLT) and artificial intelligence (AI) in digital asset transactions, focusing on the challenges of security, privacy protection, and smart contract reliability. Through a comprehensive analysis, it was found that DLT ensures transaction security and transparency through decentralized recording and consensus mechanisms, while AI enhances security through anomaly detection and threat analysis. In addition, the convergence of DLT and AI has significantly enhanced privacy protection by encrypting data transfers and using data desensitization techniques. In addition, AI-driven automated testing and vulnerability prediction improve the reliability and execution efficiency of smart contracts, ensuring the integrity of transactions. Overall, the integration of DLT and AI provides a solid framework for safe, efficient and reliable digital asset trading, paving the way for the further development and maturity of the digital asset market.

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