Secure Multimedia Content Distribution using Blockchain and Cryptographic Methods
Arsh Sinha · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025
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.