A Privacy-Preserving Logistics Information System with Traceability

TL;DR

This paper proposes a privacy-preserving logistics information system that uses pseudonyms and multi-signature techniques to protect user privacy while maintaining traceability for abnormal cases.

Contribution

It introduces PPLIST, a novel scheme combining pseudonyms and multi-signature to enhance privacy and traceability in logistics information systems.

Findings

Protects user privacy through pseudonyms

Ensures unforgeable logistics records

Allows de-anonymization in case of abnormalities

Abstract

Logistics Information System (LIS) is an interactive system that provides information for logistics managers to monitor and track logistics business. In recent years, with the rise of online shopping, LIS is becoming increasingly important. However, since the lack of effective protection of personal information, privacy protection issue has become the most problem concerned by users. Some data breach events in LIS released users' personal information, including address, phone number, transaction details, etc. In this paper, to protect users' privacy in LIS, a privacy-preserving LIS with traceability (PPLIST) is proposed by combining multi-signature with pseudonym. In our PPLIST scheme, to protect privacy, each user can generate and use different pseudonyms in different logistics services. The processing of one logistics is recorded and unforgeable. Additionally, if the logistics information is abnormal, a trace party can de-anonymize users, and find their real identities. Therefore, our PPLIST efficiently balances the relationship between privacy and traceability.