Keyword-Pair Result Pattern Hiding Structured Encryption for Boolean Queries

Cash et al. [CRYPTO2013] proposed the oblivious cross-tags (OXT) protocol to enable highly scalable searchable symmetric encryption (SSE) with support for Boolean queries. More recently, Lai et al. [CCS2018] introduced the hidden cross-tags (HXT) protocol, an enhancement of OXT designed to eliminate “keyword-pair result pattern” (KPRP) leakage in conjunctive queries. However, while HXT prevents KPRP leakage in conjunctive queries, it suffers from low efficiency and remains vulnerable to KPRP leakage in disjunctive queries. In this paper, we propose the first efficient structured encryption scheme for Boolean queries (STE-BQ) that eliminates KPRP leakage for both disjunctive and conjunctive multi-keyword queries. Our approach introduces a novel index construction method based on prime number aggregation, which significantly reduces the number of comparisons required in multi-keyword searches, thereby improving efficiency. Security analysis confirms that STE-BQ satisfies CQA2-security. Experimental evaluations further demonstrate that STE-BQ achieves optimal performance in conjunctive query processing. While its disjunctive query time is slightly slower than that of OXT, STE-BQ is the only scheme that fully eliminates KPRP leakage for both conjunctive and disjunctive queries.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Information Forensics and Security
Published
2025-01-01
DOI
https://doi.org/10.1109/tifs.2025.3594578
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Keyword-Pair Result Pattern Hiding Structured Encryption for Boolean Queries

Robert H. Deng, Yi Mu, Lanxiang Chen, Jihoon Yang
IEEE Transactions on Information Forensics and Security
DNA and Biological Computing
article

Keyword-Pair Result Pattern Hiding Structured Encryption for Boolean Queries

Robert H. Deng, Yi Mu, Lanxiang Chen, Jihoon Yang
article en

Abstract

Cash et al. [CRYPTO2013] proposed the oblivious cross-tags (OXT) protocol to enable highly scalable searchable symmetric encryption (SSE) with support for Boolean queries. More recently, Lai et al. [CCS2018] introduced the hidden cross-tags (HXT) protocol, an enhancement of OXT designed to eliminate “keyword-pair result pattern” (KPRP) leakage in conjunctive queries. However, while HXT prevents KPRP leakage in conjunctive queries, it suffers from low efficiency and remains vulnerable to KPRP leakage in disjunctive queries. In this paper, we propose the first efficient structured encryption scheme for Boolean queries (STE-BQ) that eliminates KPRP leakage for both disjunctive and conjunctive multi-keyword queries. Our approach introduces a novel index construction method based on prime number aggregation, which significantly reduces the number of comparisons required in multi-keyword searches, thereby improving efficiency. Security analysis confirms that STE-BQ satisfies CQA2-security. Experimental evaluations further demonstrate that STE-BQ achieves optimal performance in conjunctive query processing. While its disjunctive query time is slightly slower than that of OXT, STE-BQ is the only scheme that fully eliminates KPRP leakage for both conjunctive and disjunctive queries.

IEEE Transactions on Information Forensics and SecurityVol. 20
Fujian Normal University (CN), City University of Macau (MO), Singapore Management University (SG)
National Natural Science Foundation of China
Openalex Percentile: Top 83%
DNA and Biological Computing
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.