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An Auditable Decentralized Anonymous Payment Complying with The Least-Privilege Principle

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Nowadays, some decentralized anonymous payment (DAP) systems have emerged to protect transaction privacy. However, these systems may be strictly limited by certain governments due to the difficulty of tracking financial flow, which severely restricts their circulation. Although several auditable DAP (ADAP) systems permit authorities to monitor transactions, the potential for privacy violations instead makes users hesitate to apply them. As a result, it becomes a dilemma. Thus, this paper proposes an ADAP system that follows the least-privilege principle, called LP-ADAP, to strike a balance between auditability and privacy preservation. First, LP-ADAP employs a consensus audit mechanism to prevent transactions from being investigated by a single malicious auditor. In addition, the proposed method adheres to the least-privilege principle, strictly limiting auditors to only the minimum necessary permissions, thus limiting the privacy leakage of the senders and receivers. Finally, auditors in LP-ADAP can conduct offline audits without participating in the transaction phase, reducing their burden. Experiment results show that LP-ADAP outperforms existing mechanisms in transaction generation and verification. Moreover, the transaction size of LP-ADAP is mostly smaller than that of other methods, even when the number of auditors increases. Consequently, LP-ADAP is the most practical and trustworthy DAP system.

Original languageEnglish
Title of host publication2026 IEEE 23rd Consumer Communications and Networking Conference, CCNC 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331596736
DOIs
Publication statusPublished - 2026
Event23rd IEEE Consumer Communications and Networking Conference, CCNC 2026 - Las Vegas, United States
Duration: 2026 Jan 9 → 2026 Jan 12

Publication series

NameProceedings - IEEE Consumer Communications and Networking Conference, CCNC
ISSN (Print)2331-9860

Conference

Conference23rd IEEE Consumer Communications and Networking Conference, CCNC 2026
Country/TerritoryUnited States
CityLas Vegas
Period26-01-09 → 26-01-12

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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