AI-Based Smart Contract Verification: Securing and Accurate Blockchain Ecosystems

Authors

  • Klara Novak Senior Research Scientist, Avast Software, Czech Republic Author

Keywords:

smart contracts, AI techniques, blockchain security, verification, machine learning

Abstract

Blockchain technology has allowed innovative decentralized networks but highlighted security worries. Blockchain ecosystem automation uses smart contracts, self-executing contracts with programmed terms. Smart contract weaknesses may cause costly security breaches and exploitation. For secure and accurate smart contract verification, AI is powerful. The paper compares static analysis, machine learning, and reinforcement learning smart contract verification AI methods. The research discusses their implementation, pros and cons, and real-world applications where AI has found and eliminated dangers. Further research on AI-driven verification tools and blockchain system robustness is examined.

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Published

29-12-2023

How to Cite

[1]
Klara Novak, “AI-Based Smart Contract Verification: Securing and Accurate Blockchain Ecosystems”, Edinburg J. of Nat. Lang. Proc. and AI, vol. 7, pp. 1–6, Dec. 2023, Accessed: Jan. 27, 2026. [Online]. Available: https://ejnlpai.org/index.php/publication/article/view/1