Yamei Wang

dblp:183/1574 · DBLP profile ↗
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5ranked-venue papers
3as first author
5since 2021 · last 2025
—ORCID · conflict

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Systems, architecture and hardware · 3 · 1 first-author · 3 since 2021Security and privacy · 2 · 2 first-author · 2 since 2021
YearPublicationVenuePosition
2025 Anonymous and Efficient (t, n)-Threshold Ownership Transfer for Cloud EMRs Auditing
abstract
In cloud Electronic Medical Records (EMRs), health-related private information such as genetics and diseases is contained. Thus, the secure ownership transfer protocol should protect users’ privacy. In certain scenarios, some users, including patients, doctors, medical and research institutions, may be offline. As a result, existing protocols cannot be directly employed. Motivated by these observations, in this paper we propose a secure and efficient ownership transfer for cloud EMRs auditing protocol. Specifically, our protocol allows the existence of offline users while ensuring users anonymity, it is achieved using different signature constructions. Additionally, a tracing mechanism is introduced to safeguard against malicious users. We rigorously prove the security of our protocol, comprehensively evaluate the performance of it, and compare our protocol with a few closely relevant protocols. According to the evaluations, our protocol significantly improves ownership transfer efficiency while achieving additional functionalities, including public verifiability, multi-ownership transferability, anonymity, and traceability.
Yamei Wang, Yuexin Zhang, Ayong Ye, Jian Shen 0001, Derui Wang, Yang Xiang 0001
IEEE Trans. Inf. Forensics Secur.1
2025 User Preferences-Based Proactive Content Caching With Characteristics Differentiation in HetNets
abstract
With the proliferation of mobile applications, the explosion of mobile data traffic imposes a significant burden on backhaul links with limited capacity in heterogeneous cellular networks (HetNets). To alleviate this challenge, content caching based on popularity at Small Base Stations (SBSs) has emerged as a promising solution. However, accurately predicting the file popularity profile for SBSs remains a key challenge due to variations in content characteristics and user preferences. Moreover, factors such as content size and the length of time slots (that is, the time duration of the update cycle for SBSs) critically impact the performance of caching schemes with limited storage capacity. In this paper, arealism-orientedintelligent caching (RETINA) is proposed to address the problem of content caching with unknown file popularity profiles, considering varying content sizes and time slots lengths. Our simulation results demonstrate that RETINA can significantly enhance the cache hit rate by 4%–12% compared to existing content caching schemes.
Na Lin 0001, Yamei Wang, Enchao Zhang, Shaohua Wan 0001, Ahmed Yassin Al-Dubai, Liang Zhao 0004
IEEE Trans. Sustain. Comput.2
2024 A Modular Sharing Scheme for EMRs Using Consortium Blockchain and Proxy Re-encryption
Jiazheng Quan, Niefeng Wu, Yamei Wang, Yuexin Zhang
ICA3PP (1)4
2024 A Fine-Grained Ownership Transfer Protocol for Cloud EMRs Auditing
Yamei Wang, Yuexin Zhang, Weijing You, Yunru Ma, Derui Wang
ICA3PP (4)1
2024 Cloud EMRs auditing with decentralized (t, n)-threshold ownership transfer
abstract
Abstract In certain cloud Electronic Medical Records (EMRs) applications, the data ownership may need to be transferred. In practice, not only the data but also the auditing ability should be transferred securely and efficiently. However, we investigate and find that most of the existing data ownership transfer protocols only work well between two individuals, and they become inefficient when dealing between two communities. The proposals for transferring tags between communities are problematic as well since, they require all members get involved or a fully trusted aggregator facilitates ownership transfer, which are unrealistic in certain scenarios. To alleviate these problems, in this paper we develop a secure auditing protocol with decentralized (t, n)-threshold ownership transfer for cloud EMRs. This protocol is designed to operate efficiently without requiring the mandatory participation of every user or the involvement of any trusted third-party. It is achieved by employing the threshold signature. Rigorous security analyses and comprehensive performance evaluations illustrate the security and practicality of our protocol. Specifically, according to the evaluations and comparisons, the communication and computational consumption is independent of the file size, i.e., it is constant in our protocol for both communities.
Yamei Wang, Weijing You, Yuexin Zhang, Ayong Ye, Li Xu 0002
Cybersecur.1