The Role of AI in Smart Contract Verification

Automating Trust and Security on Blockchain Networks

Authors

  • Emily Carter Associate Professor, Department of Computer Science, University of Cambridge, Cambridge, UK Author

Keywords:

Artificial Intelligence, smart contracts, verification, compliance, security, natural language processing

Abstract

The proliferation of blockchain technology has ushered in a new era of decentralized applications, notably through the use of smart contracts. However, the automated execution of these contracts poses significant challenges regarding trust and security. This paper investigates the role of artificial intelligence (AI) in automating the verification of smart contracts on blockchain platforms. By employing AI models, it becomes possible to enhance the accuracy of contract verification, ensuring compliance and mitigating security risks associated with automated execution. This study highlights various AI methodologies, such as machine learning and natural language processing, that can be integrated into the smart contract lifecycle. The findings reveal that AI-driven approaches not only streamline the verification process but also establish a more secure and trustworthy environment for blockchain applications. Ultimately, this research underscores the necessity of integrating AI in smart contract verification to foster confidence in automated transactions.

Downloads

Download data is not yet available.

References

Gayam, Swaroop Reddy. "Deep Learning for Autonomous Driving: Techniques for Object Detection, Path Planning, and Safety Assurance in Self-Driving Cars." Journal of AI in Healthcare and Medicine 2.1 (2022): 170-200.

Chitta, Subrahmanyasarma, et al. "Decentralized Finance (DeFi): A Comprehensive Study of Protocols and Applications." Distributed Learning and Broad Applications in Scientific Research 5 (2019): 124-145.

Nimmagadda, Venkata Siva Prakash. "Artificial Intelligence for Real-Time Logistics and Transportation Optimization in Retail Supply Chains: Techniques, Models, and Applications." Journal of Machine Learning for Healthcare Decision Support 1.1 (2021): 88-126.

Putha, Sudharshan. "AI-Driven Predictive Analytics for Supply Chain Optimization in the Automotive Industry." Journal of Science & Technology 3.1 (2022): 39-80.

Sahu, Mohit Kumar. "Advanced AI Techniques for Optimizing Inventory Management and Demand Forecasting in Retail Supply Chains." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 190-224.

Kasaraneni, Bhavani Prasad. "AI-Driven Solutions for Enhancing Customer Engagement in Auto Insurance: Techniques, Models, and Best Practices." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 344-376.

Vangoor, Vinay Kumar Reddy, et al. "Energy-Efficient Consensus Mechanisms for Sustainable Blockchain Networks." Journal of Science & Technology 1.1 (2020): 488-510.

Kondapaka, Krishna Kanth. "AI-Driven Inventory Optimization in Retail Supply Chains: Advanced Models, Techniques, and Real-World Applications." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 377-409.

Kasaraneni, Ramana Kumar. "AI-Enhanced Supply Chain Collaboration Platforms for Retail: Improving Coordination and Reducing Costs." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 410-450.

Pattyam, Sandeep Pushyamitra. "Artificial Intelligence for Healthcare Diagnostics: Techniques for Disease Prediction, Personalized Treatment, and Patient Monitoring." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 309-343.

Kuna, Siva Sarana. "Utilizing Machine Learning for Dynamic Pricing Models in Insurance." Journal of Machine Learning in Pharmaceutical Research 4.1 (2024): 186-232.

George, Jabin Geevarghese. "Augmenting Enterprise Systems and Financial Processes for transforming Architecture for a Major Genomics Industry Leader." Journal of Deep Learning in Genomic Data Analysis 2.1 (2022): 242-285.

Katari, Pranadeep, et al. "Cross-Chain Asset Transfer: Implementing Atomic Swaps for Blockchain Interoperability." Distributed Learning and Broad Applications in Scientific Research 5 (2019): 102-123.

Sengottaiyan, Krishnamoorthy, and Manojdeep Singh Jasrotia. "SLP (Systematic Layout Planning) for Enhanced Plant Layout Efficiency." International Journal of Science and Research (IJSR) 13.6 (2024): 820-827.

Venkata, Ashok Kumar Pamidi, et al. "Implementing Privacy-Preserving Blockchain Transactions using Zero-Knowledge Proofs." Blockchain Technology and Distributed Systems 3.1 (2023): 21-42.

Namperumal, Gunaseelan, Debasish Paul, and Rajalakshmi Soundarapandiyan. "Deploying LLMs for Insurance Underwriting and Claims Processing: A Comprehensive Guide to Training, Model Validation, and Regulatory Compliance." Australian Journal of Machine Learning Research & Applications 4.1 (2024): 226-263.

Yellepeddi, Sai Manoj, et al. "Blockchain Interoperability: Bridging Different Distributed Ledger Technologies." Blockchain Technology and Distributed Systems 2.1 (2022): 108-129.

Downloads

Published

18-09-2024

How to Cite

[1]
Emily Carter, “The Role of AI in Smart Contract Verification: Automating Trust and Security on Blockchain Networks”, Australian Journal of Machine Learning Research & Applications, vol. 4, no. 2, pp. 102–108, Sep. 2024, Accessed: Nov. 06, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/170

Similar Articles

11-20 of 104

You may also start an advanced similarity search for this article.