Synchronized Digital Identities

Abstract

Metaverse ecosystems pose new challenges that have never been seen before in ensuring that digital identities are consistent across heterogeneous platforms. The chapter suggests a new twin architecture based on the digital twin principles of managing identity that introduces a federated model that includes credential, behavioral, context, and authorization sub-twins. In our methodology, we use privacy-preserving protocols of synchronization using zero-knowledge proofs. On benchmark datasets (LFW, VGGFace2, KeyRecs) the system has been shown to achieve 99.1% authentication accuracy, 0.7% EER (22% better than current systems) and 127ms average latency and 99.8% cross-platform synchronization reliability. These results provide a roadmap to the next-generation authentication systems that would enable the smooth experiences across the physical-virtual metaverse boundaries.