An efficient hierarchical attribute-based encryption scheme with cross-domain data sharing

With the rapid advancement of data sharing technology, an increasing amount of data is being stored on cloud servers. To enable fine-grained access control over the data stored on cloud servers, the Ciphertext-Policy Attribute-Based Encryption (CP-ABE) technology has been widely adopted. Recognizing that shared data and files often possess a hierarchical structure, hierarchical CP-ABE technology has been proposed recently. However, most existing schemes are restricted to single-domain data access, which limits their flexibility and universal applicability in practical applications. To address this limitation, an access control scheme based on hierarchical CP-ABE, named CDS-CP-ABE, is proposed to facilitate secure and efficient cross-domain data sharing. The scheme is capable of not only realizing fine-grained hierarchical access control within a single domain but also enabling cross-domain data sharing. Security analysis confirms that our scheme effectively resists chosen-plaintext attack. Furthermore, empirical results indicate that the time consumption associated with our scheme is lower compared to other existing schemes. • Achieve fine-grained hierarchical access control for data users. • Support cross-domain data access for data users based on their access levels. • Resist chosen-plaintext attack effectively, and reduce computational overhead compared to existing scheme.

Authors

Institutions

Publication Details

Journal
Computer Networks
Published
2024-10-19
DOI
https://doi.org/10.1016/j.comnet.2024.110863
Citations
6
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
2.08
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An efficient hierarchical attribute-based encryption scheme with cross-domain data sharing

Guangcan Yang, Chao Wang, Yunhua He, Xin Yang et al.
6 citations
Computer Networks
Cryptography and Data Security
2.08
article

An efficient hierarchical attribute-based encryption scheme with cross-domain data sharing

Guangcan Yang, Chao Wang, Yunhua He, Xin Yang, Xiu‐Bo Chen, Peixuan Li
article en
6 citations

Abstract

With the rapid advancement of data sharing technology, an increasing amount of data is being stored on cloud servers. To enable fine-grained access control over the data stored on cloud servers, the Ciphertext-Policy Attribute-Based Encryption (CP-ABE) technology has been widely adopted. Recognizing that shared data and files often possess a hierarchical structure, hierarchical CP-ABE technology has been proposed recently. However, most existing schemes are restricted to single-domain data access, which limits their flexibility and universal applicability in practical applications. To address this limitation, an access control scheme based on hierarchical CP-ABE, named CDS-CP-ABE, is proposed to facilitate secure and efficient cross-domain data sharing. The scheme is capable of not only realizing fine-grained hierarchical access control within a single domain but also enabling cross-domain data sharing. Security analysis confirms that our scheme effectively resists chosen-plaintext attack. Furthermore, empirical results indicate that the time consumption associated with our scheme is lower compared to other existing schemes. • Achieve fine-grained hierarchical access control for data users. • Support cross-domain data access for data users based on their access levels. • Resist chosen-plaintext attack effectively, and reduce computational overhead compared to existing scheme.

Computer NetworksVol. 255
Beijing University of Posts and Telecommunications (CN), North China University of Technology (CN)
Openalex Percentile: Top 11%
Cryptography and Data Security
2.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.