DQVeriChain: Distributed quantum-state-verified and DID-based self-attentive large language model for criminal tracking using blockchain

Key Points

• This framework enables efficient criminal tracking through decentralized identifiers and a self-attentive large language model, enhancing data integrity and verification.
• The model leverages quantum-state verification alongside blockchain technology to secure the data and ensure its authenticity.
• Utilizing a decentralized approach, the method minimizes the risk of data tampering and unauthorized access, promising reliable outcomes for criminal investigations.
• Potential implications include transforming how law enforcement interacts with technology, though real-world application may require further exploration.