Xinyan Wu

dblp:176/7119 · DBLP profile ↗
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4ranked-venue papers
2as first author
4since 2021 · last 2026
0009-0003-4753-1167ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Computer networks · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Tagged-FHE: strong syntax, stronger security, and standard model
Mengdi Ouyang, Zhaosen Shi, Xinyan Wu, Fuchun Guo, Fagen Li
Des. Codes Cryptogr.4
2026 IB-BPSE: A Blockchain-Assisted Privacy-Preserving Data Sharing Scheme Using Searchable Encryption
abstract
In a typical Internet of Medical Things (IoMT) system, it is common for users’ physiological data, collected by medical sensors, to be processed and shared in a third-party environment, such as a cloud server. Medical data sharing in a third-party environment must guarantee data integrity and source authentication, and robust privacy-preserving measures must be taken to enhance reliability. Searchable encryption (SE) has been leveraged in the IoMT to address the issue of exposing private data during storage and transmission. However, existing works suffer from shortcomings, such as vulnerability to data tampering. In this paper, we propose a novel privacy-preserving data sharing scheme with identity authentication based on SE that addresses the heavyweight public key management problem within a Public Key Infrastructure (PKI) framework. In IB-BPSE, a redactable signature (RS) assisted by blockchain and Merkle tree structure ensures authentication and integrity. Searchable proxy re-encryption encrypts private data, enabling efficient ciphertext search and multi-user data sharing. In addition, the scheme is provably secure in the random oracle model, and the performance analysis demonstrates that the system achieves ideal comprehensive performance. Finally, we propose an application scenario in IoMT based on IB-BPSE.
Bo Yang 0003, Xinyan Wu, Peize Liu, Naixin Zhang, Fagen Li
IEEE Internet Things J.3
2024 A randomized encryption deduplication method against frequency attack
Xinyan Wu, Huanwei Wang, Weifeng Wu, Fagen Li
J. Inf. Secur. Appl.1
2023 A lightweight encrypted deduplication scheme supporting backup
Xinyan Wu, Huanwei Wang, Yangkai Yuan, Fagen Li
J. Syst. Archit.1