Demo Data from VLDB 2026 / reviewers in the wild / expert
Jiayan Shen
dblp:289/9540
· DBLP profile ↗
3ranked-venue papers
3as first author
3since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Computer networks · 1 · 1 first-author · 1 since 2021Security and privacy · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Cryptographic protocols and secure computation · 77% Privacy and data protection · 23% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic protocols and secure computation
provable data possession |
0.7 | 1 | 2023 | A Certificateless Provable Data Possession Scheme for Cloud-Based EHRs · IEEE Trans. Inf. Forensics Secur. 2023 |
Cloud and datacenter computing
cloud storage |
0.7 | 1 | 2023 | A Certificateless Provable Data Possession Scheme for Cloud-Based EHRs · IEEE Trans. Inf. Forensics Secur. 2023 |
Methods — techniques the papers use, named apart from their topics
paillier cryptosystem · 1.3computational diffie-hellman assumption · 1.3certificateless cryptography · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Spatial-Temporal Attention-based Interaction-aware trajectory prediction for human-driven vehicles at freeway merging areas
Jiayan Shen, Xiang Wang 0027, Wenjuan E, Yanyun Tao, Fangyu Feng |
Eng. Appl. Artif. Intell. | 1 |
| 2023 | A Certificateless Provable Data Possession Scheme for Cloud-Based EHRsabstractElectronic health records (EHRs: digital collections of patient health status and diagnosis) are generally shared, analyzed and stored on cloud servers. One operational challenge is to ensure that EHRs are stored correctly, for example using provable data possession (PDP). Seeking to contribute to the literature, we propose a certificateless PDP scheme for cloud-based EHRs. In our scheme, we distribute multiple copies of EHRs on different cloud servers to allow for corrupted EHRs to be recoverable from other intact copies. The scheme is also designed to resist copy-summation attack which assures that cloud servers are storing EHRs honestly. In our approach, EHRs are stored in ciphertext form so that only authorized users can decrypt and gain access to the information. We also design a new data structure – map version marker table (MVMT) – for block-level dynamic operations and data traceability. Specifically, MVMT allows an authorized doctor to access historical EHRs to inform their diagnosis and decision-making. The security and performance analyses show that our scheme is secure (assuming the intractability of the computational Diffie-Hellman problem) and is practical to support cloud-based EHR applications. Jiayan Shen, Peng Zeng 0002, Kim-Kwang Raymond Choo, Chengju Li |
IEEE Trans. Inf. Forensics Secur. | 1 |
| 2022 | Multicopy and Multiserver Provable Data Possession for Cloud-Based IoTabstractProvable data possession (PDP) is widely considered to be an efficient method in verifying the integrity of remote data. While earlier PDP schemes are generally designed to check the integrity of data copies on a single cloud server (CS), there have been attempts to design multicopy and multiserver PDP (MCMS-PDP) schemes in recent years. However, it is known that MCMS-PDP schemes may be vulnerable to copy-summation attacks or do not support dynamic operations. The former enables a (dishonest) CS to only store a summation of copies for successful verification, while the latter does not allow the data owner to update the stored data. In this article, we propose a new MCMS-PDP scheme based on homomorphic verifiable tags. Specifically, our proposed scheme is designed to check the integrity of all copies in one challenge–response and resist copy-summation attacks. The scheme also supports public verification and block-level dynamic operations, such as modification, insertion, and deletion using the divide-and-conquer table. We then prove the security of our scheme, assuming the intractability of the computational Diffie–Hellman problem, in the random oracle model. We also evaluate the performance of the scheme to demonstrate its efficiency. Jiayan Shen, Peng Zeng 0002, Kim-Kwang Raymond Choo |
IEEE Internet Things J. | 1 |