Data minimization is a principle that advocates for collecting and retaining only the data that is strictly necessary for a specific purpose. It aims to reduce the volume of personal information processed by organizations. This practice enhances privacy and security by limiting the potential impact of data breaches.
Context
In the context of digital assets and blockchain technology, data minimization is becoming increasingly pertinent due to privacy regulations and user concerns about on-chain data transparency. Discussions often center on the trade-offs between verifiable data for network security and the protection of individual user privacy. Future developments may involve more sophisticated cryptographic techniques to enable data utility without compromising confidentiality.
This research introduces a novel OR-aggregation technique, enabling constant-size zero-knowledge proofs for set membership in resource-constrained IoT blockchain environments.
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