Secure Multimedia Content Distribution using Blockchain and Cryptographic Methods

Digital content distribution faces security challenges like unauthorized access, piracy, and cyber threats, risking intellectual property and data integrity. Our project integrates fa- cial recognition (MTCNN, InceptionResnetV1), AES encryption, IPFS for decentralized storage, and blockchain logging to ensure secure file management. Using Python, TensorFlow, PyTorch, Cryptography Library, Tkinter, and Hyperledger/Ethereum, it enables tamper-proof tracking, efficient encryption, and seamless retrieval. The system enhances security with biometric authen- tication, cryptographic protection, and decentralized storage, achieving a 22% performance boost. This robust, user-friendly solution safeguards digital assets, prevents unauthorized access, and strengthens digital rights management in multimedia content distribution.