SEAC: dynamic searchable symmetric encryption with lightweight update-search permission control

Abstract Sharing electronic protected health information (ePHI) is highly beneficial in public affairs. Constructing a cloud-assisted ePHI retrieval service represents a modern strategy that enhances cost-effectiveness and efficiency, making it a promising solution. However, widespread implementation is hindered by concerns over privacy violations. Symmetric Searchable Encryption (SSE) has emerged as a practical approach for ensuring data privacy and efficient retrieval in the cloud without decryption. Nonetheless, existing SSE schemes encounter challenges, including secure and efficient data updates, effective search-update permission control, and cross-platform adaptability. To address these limitations, we propose a novel variant of Dynamic Searchable Symmetric Encryption known as SEAC, tailored for secure, cloud-assisted sharing of ePHI. SEAC is formalized within a multi-client/single-server model, enabling authorized clients to perform search or update on encrypted data. The concrete construction integrates dynamic cryptographic accumulators with an efficient binding mechanism for index structures, offering two key features: (1) sublinear conjunctive keyword search that ensures forward and Type-II backward privacy, and (2) lightweight, updatable permission control that effectively mitigates read-write confusion while supporting scalable user revocation and re-authorization. We developed both a localized and a web-based implementation, demonstrating its efficiency and scalability in practical applications.

Authors

Institutions

Publication Details

Journal
Cybersecurity
Published
2025-10-09
DOI
https://doi.org/10.1186/s42400-025-00370-9
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SEAC: dynamic searchable symmetric encryption with lightweight update-search permission control

Zeng‐Yue Ge, Zhicong Chen, Yongbin Zhou, Lei Chen et al.
Cybersecurity
Cryptography and Data Security
article

SEAC: dynamic searchable symmetric encryption with lightweight update-search permission control

Zeng‐Yue Ge, Zhicong Chen, Yongbin Zhou, Lei Chen, Jiabei Wang, Mingyu Bian
article en

Abstract

Abstract Sharing electronic protected health information (ePHI) is highly beneficial in public affairs. Constructing a cloud-assisted ePHI retrieval service represents a modern strategy that enhances cost-effectiveness and efficiency, making it a promising solution. However, widespread implementation is hindered by concerns over privacy violations. Symmetric Searchable Encryption (SSE) has emerged as a practical approach for ensuring data privacy and efficient retrieval in the cloud without decryption. Nonetheless, existing SSE schemes encounter challenges, including secure and efficient data updates, effective search-update permission control, and cross-platform adaptability. To address these limitations, we propose a novel variant of Dynamic Searchable Symmetric Encryption known as SEAC, tailored for secure, cloud-assisted sharing of ePHI. SEAC is formalized within a multi-client/single-server model, enabling authorized clients to perform search or update on encrypted data. The concrete construction integrates dynamic cryptographic accumulators with an efficient binding mechanism for index structures, offering two key features: (1) sublinear conjunctive keyword search that ensures forward and Type-II backward privacy, and (2) lightweight, updatable permission control that effectively mitigates read-write confusion while supporting scalable user revocation and re-authorization. We developed both a localized and a web-based implementation, demonstrating its efficiency and scalability in practical applications.

CybersecurityVol. 8(1)
Chinese Academy of Sciences (CN), WuXi AppTec (China) (CN), Nanjing University of Science and Technology (CN), Institute of Information Engineering (CN)
Ministry of Industry and Information Technology of the People's Republic of China
Openalex Percentile: Top 85%
Cryptography and Data Security
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.