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AI and Blockchain: Strengthening Data Integrity and Security
Authors
Sreekanth Pasunuru
Abstract
This white paper explores the convergence of artificial intelligence (AI) and blockchain technologies to enhance data integrity and security in various sectors. By combining the decentralized, tamper-resistant nature of blockchain with AI’s advanced data analysis and anomaly detection capabilities, organizations can strengthen their data protection strategies. This paper covers practical applications in fraud detection, privacy management, and supply chain transparency, and examines the cryptographic tools needed to secure AI-blockchain implementations. Key challenges such as scalability, regulatory compliance, and the security of AI models themselves are also discussed, along with future directions for innovation in this space.
Keywords
AI, Blockchain, Data Integrity, Data Security, Decentralized Networks, Fraud Detection, Privacy Enhancement, Distributed Ledger Technology (DLT), Anomaly Detection
Citation
AI and Blockchain: Strengthening Data Integrity and Security. Sreekanth Pasunuru. 2024. IJIRCT, Volume 10, Issue 6. Pages 1-7. https://www.ijirct.org/viewPaper.php?paperId=2501015