AI and Blockchain: Strengthening Data Integrity and Security
Author(s): Sreekanth Pasunuru
Publication #: 2501015
Date of Publication: 08.11.2024
Country: USA
Pages: 1-7
Published In: Volume 10 Issue 6 November-2024
DOI: https://doi.org/10.5281/zenodo.14598709
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
Download/View Count: 144
Share this Article