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A Survey of Blockchain Privacy Protection in Intra-Chain and Cross-Chain Scenarios: State-of-the-Art, Challenges, and Future Work

delete2026-04-23
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PRE
AI
D
Dongyu Cao
李必信 (Bixin Li)
王璐璐 cover
王璐璐 (Lulu Wang)
H
Huijie Zhang
Y
Yong Wang
DOI:10.1109/tbdata.2026.3687094delete
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Abstract

Abstract

En 中文
The rapid development of blockchain has spurred the emergence of programmable currency, finance, and society. However, blockchains are subject to severe privacy issues such as deanonymization, transaction linkability, and malicious contracts. Numerous studies in academia and industry have been dedicated to blockchain privacy protection. However, existing surveys tend to be limited in scope, often addressing only intra-chain privacy while neglecting cross-chain concerns and providing incomplete coverage of privacy protection methods. To facilitate interested researchers to comprehend the research field better, this paper presents a comprehensive survey about blockchain privacy protection utilizing a mapping study. We provide a detailed analysis of three types of privacy information, their corresponding privacy threats, four categories of privacy-preserving methods, and validation methods in intra-chain and cross-chain scenarios. We also summarize some typical applications of blockchain where privacy protection is crucial. Moreover, we highlight some deficiencies of the current study, and discuss challenges and future research directions in this field.
Keywords:
Blockchain
privacy protection
cross-chain
interoperability

Journal

I
IEEE Transactions on Big Data
IF:
5.7
Papers:
834
Citations:
3.0K

Organization

S
Southeast University
Scholars:
1.8W
Papers: 7.7K
Citations: 480
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