Selective tracing refers to the ability to track specific transactions or data flows within a privacy-enhanced system under predefined conditions, without exposing all information. It allows for targeted transparency, often for regulatory compliance or forensic analysis, while preserving general user privacy. This approach aims to balance anonymity with accountability.
Context
News regarding privacy coins or zero-knowledge proof applications often discusses the implementation and implications of selective tracing. Regulators are particularly interested in this capability to combat illicit activities while respecting user data protection. The technical challenges and ethical considerations of designing effective selective tracing mechanisms remain a key area of research and debate.
This research introduces cryptographic mechanisms for blockchain transactions, enabling selective tracing and regulatory compliance while preserving user privacy.
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