Artificial Intelligence and Blockchain-Based Intellectual Property Protection Platform
DOI:
https://doi.org/10.15662/IJEETR.2026.0802022Keywords:
Artificial Intelligence, Intellectual Property Protection, Multimedia Fingerprinting, Blockchain, Similarity Detection, IPFSAbstract
With the rapid growth of digital content creation and online distribution, creators increasingly rely on digital platforms to manage and protect their intellectual property. However, a major limitation of existing copyright protection systems is their reliance on centralized storage and manual verification processes, which are vulnerable to tampering, inefficiency, and limited scalability. To address these challenges, this paper proposes an AI-based multimedia intellectual property protection system integrated with blockchain technology. The proposed system supports text, image, and audio content and employs Artificial Intelligence techniques to generate robust content fingerprints for originality verification. Deep learning–based feature extraction and similarity analysis are used to detect plagiarism, duplication, and partial reuse across multiple media formats. Blockchain technology is utilized to store cryptographic hashes and ownership metadata as immutable, timestamped records, while decentralized storage ensures efficient management of large digital assets. Automated similarity evaluation and threshold-based decision logic enable accurate classification of content originality, and verification reports provide transparent ownership validation. The proposed system demonstrates improved accuracy, security, and scalability compared to traditional copyright protection mechanisms, making it suitable for real-world multimedia intellectual property protection applications
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