The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.
InfoResearchPeer-reviewed
PADRE: Privacy-Aware Decentralized Randomness
- Published
- Record updated
Summary
The paper proposes PADRE, a privacy-aware decentralized randomness beacon that conceals participants' identities while generating randomness. It introduces the anonymous threshold verifiable random function (ATVRF), built on VRFs under the Decisional Diffie-Hellman assumption on elliptic curves, and adds an anonymous lottery to committee-based DRBs. A proof-of-concept implementation produced 102 beacons per minute on average across 64 nodes.