End-to-End Multimedia Protection for Consumer-Centric Digital Twins via Blockchain and Hardware-Rooted Trust

The explosive growth of multimedia-enabled consumer Internet of Things (IoT) devices, from smart cameras and wearables to industrial sensors and monitors, has introduced unprecedented challenges for secure data management. Traditional centralized security solutions encounter latency, scalability issues, and single points of failure, making them unsuitable for the next generation of IoT ecosystems. The rise in artificial intelligence (AI)-enabled attacks on IoT and multimedia systems highlights the need for resilient frameworks utilizing blockchain, cryptography, and AI threat detection. To address these challenges, this paper presents a blockchain-enabled multimedia security framework that integrates attribute-based encryption (ABE), trusted execution environments (TEEs), and physical unclonable functions (PUFs) into a layered architecture supporting Consumer-Centric Digital Twins (CCDT) in Healthcare 5.0, offering security, privacy, and scalable multimedia data management. The framework decentralizes trust management through smart contracts that enforce fine-grained, policy-driven access control, while utilizing off-chain IPFS storage to minimize blockchain bloat and reduce overhead. The proposed system is resistant to replay, tampering, and collision attacks. Its resilience has been validated through formal proofs in real-or-random models. These proofs ensure strong confidentiality and session key indistinguishability, achieving under-30 ms latency and a 42% throughput boost over existing methods, while remaining quantum-resistant. This addresses a key performance gap in secure multimedia processing for IoT environments.