Fair-Anonymity: A Novel Fairness Notion for Cryptocurrency

In recent years, there has been a growing demand for using tokens of public blockchains like Bitcoin for legitimate transactions. However, the lack of authoritative guarantees on these tokens raises concerns about their potential misuse in criminal activities. Conversely, the introduction of full transparency regulation may stifle the highly innovative cryptocurrency community. This paper introduces a novel concept of fairness, termed Fair-Anonymity, which allows regulatory authorities to probabilistically trace the payer’s ID with the pre-agreed probability based solely on the total amount of the transaction, even when divided into smaller transactions. The Fair-Anonymity protocol can be applied to many blockchains by adding proof to the transaction, in which public verifiers can verify the result. Our scheme cryptographically enforces the revealing probability using k-out-of-n Committed Oblivious Transfer, ensuring that neither the sender nor the receiver can manipulate the probability or alter the committed values, thus disincentivizing illegal high-value transactions. Conversely, enterprises accepting only tokens with Fair-Anonymity proofs can externally demonstrate their commitment to lawful operations.

Authors

Publication Details

Published
2025-02-28
DOI
https://doi.org/10.5121/csit.2024.150203
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fair-Anonymity: A Novel Fairness Notion for Cryptocurrency

Taishi Higuchi, Akira Otsuka
Privacy, Security, and Data Protection
article

Fair-Anonymity: A Novel Fairness Notion for Cryptocurrency

Taishi Higuchi, Akira Otsuka
article en

Abstract

In recent years, there has been a growing demand for using tokens of public blockchains like Bitcoin for legitimate transactions. However, the lack of authoritative guarantees on these tokens raises concerns about their potential misuse in criminal activities. Conversely, the introduction of full transparency regulation may stifle the highly innovative cryptocurrency community. This paper introduces a novel concept of fairness, termed Fair-Anonymity, which allows regulatory authorities to probabilistically trace the payer’s ID with the pre-agreed probability based solely on the total amount of the transaction, even when divided into smaller transactions. The Fair-Anonymity protocol can be applied to many blockchains by adding proof to the transaction, in which public verifiers can verify the result. Our scheme cryptographically enforces the revealing probability using k-out-of-n Committed Oblivious Transfer, ensuring that neither the sender nor the receiver can manipulate the probability or alter the committed values, thus disincentivizing illegal high-value transactions. Conversely, enterprises accepting only tokens with Fair-Anonymity proofs can externally demonstrate their commitment to lawful operations.

Openalex Percentile: Top 95%
Privacy, Security, and Data Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.