LPPAC: Lightweight privacy-preserving distributed payments with access control

IF 4.4 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computer Networks Pub Date : 2024-11-26 DOI:10.1016/j.comnet.2024.110936
Bo Zeng , Tian Wu , Fangchao Yu , Geying Yang , Kai Zhao , Lina Wang
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Abstract

The privacy-preserving distributed payment system leverages the advantages of its decentralized form while upholding data privacy. Currently, numerous solutions effectively safeguard users’ privacy, encompassing transaction amounts and identities, but in practical deployments, these solutions may impose limitations due to their indiscriminate treatments. Recognizing that real-world transactions involve not only the exchange of funds but also the transfer of assets, we introduce a lightweight privacy-preserving distributed payment scheme called LPPAC, which differentiates its treatment of different levels of private data. The transformation of amounts, which directly involves monetary values, is rigorously protected using appropriate encryption techniques. Additionally, we incorporate transaction pruning techniques to reduce storage overhead and enhance operational efficiency. In the context of asset transfers, there may be instances where parties other than the transacting entities need to be informed to make adequate preparations. However, the information related to asset transfers is inherently linked to transaction amounts. Therefore, we introduce an access control mechanism to allocate corresponding access rights. Through this approach, we theoretically establish that LPPAC can offer a precise privacy protection solution without compromising privacy. Furthermore, experimental results show the strong performance of LPPAC in practical applications.
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来源期刊
Computer Networks
Computer Networks 工程技术-电信学
CiteScore
10.80
自引率
3.60%
发文量
434
审稿时长
8.6 months
期刊介绍: Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups.
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Editorial Board DUdetector: A dual-granularity unsupervised model for network anomaly detection LPPAC: Lightweight privacy-preserving distributed payments with access control Cooperation-based server deployment strategy in mobile edge computing system Reducing tail latency for multi-bottleneck in datacenter networks: A compound approach
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