Enhancing Digital Identity Verification and Content Rights Management with AI and Blockchain Using SVMs
Keywords:
AI-driven confirmation, blockchain technology, content authentication, digitise content protection , digitise rights management, Support Vectors MachinesAbstract
This research explores merging AI-driven identity confirmation with blockchain mechanisms for rights management in digitized media—the proposed framework leverages supervisor learning techniques to authenticate digitized content and ensure secure ownership confirmation. Utilizing blockchain offers a decentralized and tamper-proof framework for managing rights, enabling transparency and trust among stakeholders. Supervisor learning algorithms, such as Support Vectors Machines, are applied to improve content authentication accuracy, ensuring that digitized assets are protected against unauthorized use or duplication. The combination of AI and blockchain automates the confirmation process and provides a reliable framework for managing ownership rights and licensing in a secure, distributed environment. This strategy holds significant potential for addressing the challenges of digitized rights management while fostering innovation and trust in digitized content ecosystems.
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Copyright (c) 2025 International Journal of Multidisciplinary Global Research

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