Achieving Pattern Hidden Symmetric Searchable Encryption Based on Oblivious Polynomial Evaluation

This paper proposes a symmetric searchable encryption scheme that hides both search pattern and access pattern. The protocol allows users to obtain correct search results on ciphertexts without leaking privacy. We introduce an efficient and secure Oblivious polynomial evaluation protocol (ESOPE) to achieve pattern hiding. Compared to existing schemes, our approach eliminates the need for auxiliary participants, thereby reducing the risk of privacy breaches. Moreover, our protocol demonstrates significant improvements in both time efficiency and storage efficiency across datasets of various sizes.

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1145/3714334.3714387
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Achieving Pattern Hidden Symmetric Searchable Encryption Based on Oblivious Polynomial Evaluation

Zhenfu Cao, Jiachen Shen, Yiwei Hu, Xiaolei Dong
Cryptography and Data Security
article

Achieving Pattern Hidden Symmetric Searchable Encryption Based on Oblivious Polynomial Evaluation

Zhenfu Cao, Jiachen Shen, Yiwei Hu, Xiaolei Dong
article en

Abstract

This paper proposes a symmetric searchable encryption scheme that hides both search pattern and access pattern. The protocol allows users to obtain correct search results on ciphertexts without leaking privacy. We introduce an efficient and secure Oblivious polynomial evaluation protocol (ESOPE) to achieve pattern hiding. Compared to existing schemes, our approach eliminates the need for auxiliary participants, thereby reducing the risk of privacy breaches. Moreover, our protocol demonstrates significant improvements in both time efficiency and storage efficiency across datasets of various sizes.

Shanghai Key Laboratory of Trustworthy Computing (CN), East China Normal University (CN)
Openalex Percentile: Top 74%
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.