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Wenya Chen

dblp:298/1220 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0001-4468-6732ORCID · reported

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

Security and privacy · 1 · 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
Authentication and access control · 75% Cryptographic primitives and cryptanalysis · 25%
Computer networks
1 paper
Edge and fog computing · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Authentication and access control
access control
0.812024
Domain-Specific Fine-Grained Access Control for Cloud-Edge Collaborative IoT · IEEE Trans. Inf. Forensics Secur. 2024
Authentication and access control › access control models
attribute-based access control
0.812024
Domain-Specific Fine-Grained Access Control for Cloud-Edge Collaborative IoT · IEEE Trans. Inf. Forensics Secur. 2024
Cryptographic primitives and cryptanalysis › functional encryption › attribute-based encryption
outsourced decryption
0.812024
Domain-Specific Fine-Grained Access Control for Cloud-Edge Collaborative IoT · IEEE Trans. Inf. Forensics Secur. 2024
Authentication and access control › identity management
user revocation
0.812024
Domain-Specific Fine-Grained Access Control for Cloud-Edge Collaborative IoT · IEEE Trans. Inf. Forensics Secur. 2024
Edge and fog computing
edge-cloud collaboration
0.212024
Domain-Specific Fine-Grained Access Control for Cloud-Edge Collaborative IoT · IEEE Trans. Inf. Forensics Secur. 2024

Methods — techniques the papers use, named apart from their topics

cross-domain encryption · 1.5ciphertext-policy attribute-based encryption · 1.5
YearPublicationVenuePosition
2024 Domain-Specific Fine-Grained Access Control for Cloud-Edge Collaborative IoT
abstract
The cloud-edge collaborative data sharing supporting data confidentiality can be realized by adopting outsourced Attribute-Based Encryption (ABE) schemes. Yet, most existing schemes in such kind of scenarios are facing challenges such as vulnerable terminal devices that are easy to be attacked, lack of flexible authorization management methods for a large number of devices, and lack methods to securely specify on-demand data sharing domains. In this paper, we propose a Domain-specific On-demand Access Control scheme with fully Independent Revocation (DOACIR), which not only realizes a three-layer on-demand data sharing framework for cloud-edge collaborative IoT environments but also allows data uploader to restrict the data sharing domain through a succinct way. The attribute authority and multiple edge servers perform data access authorization collaboratively to improve the data sharing efficiency as well as avoid the key-abuse problem and key-leakage problem. Fully independent user revocation is also realized in DOACIR to flexibly manage terminal devices in IoT. Further, we improve the scheme to support cross-domain data sharing, namely Cross-Domain DOACIR (CD-DOACIR), by improving the encryption phase allowing data uploader to specify any number of sharing domains while the size of ciphertext remains constant. We provide the security proofs of DOACIR and CD-DOACIR, and the experiment results demonstrate the effectiveness and efficiency of our solutions in cloud-edge collaborative on-demand data sharing.
Meiyan Xiao, Qiong Huang 0001, Wenya Chen, Chuan Lyu, Willy Susilo
IEEE Trans. Inf. Forensics Secur.3