Adaptive deanonymization of blockchain transactions leveraging integrative neural architectures in decentralized networks
Abstract The pseudonymous nature of decentralized networks like Bitcoin presents tremendous obstacles for regulatory compliance, forensic auditing, and cybercrime investigation. Traditional heuristics and single-modality machine learning (ML) frameworks provide partial transparency but usually suffer from the modality...
Rohit Saxena, Brijesh Kumar Chaurasia, Abhinav Awasthi et al.
· Scientific Reports · 0 citations