A dual-mode thumbnail-preserving encryption scheme based on chaotic system and reversible data hiding

The widespread adoption of cloud storage has exposed user image data to privacy leakage risks. Traditional image encryption methods convert images into entirely unreadable formats, ensuring security yet severely restricting image usability (e.g., previewing, retrieval). Thumbnail Preserving Encryption (TPE) offers a novel approach to balancing privacy and usability by maintaining visual recognisability in encrypted images. However, existing TPE methods retain only coarse visual information, remaining inadequate for non-visual usability. To address this, we propose a dual-mode TPE scheme based on chaotic systems and reversible data hiding (RDH), aiming to simultaneously achieve image privacy protection and usability enhancement. A novel two-dimensional chaotic mapping is designed to drive a dual encryption mechanism of permutation and substitution. Combined with an improved histogram shifting algorithm, this approach enables lossless embedding of non-visual information within the encrypted domain. Experimental results demonstrate that the total time for encryption and information embedding is merely 0.5 seconds, with an NPCR value exceeding 0.99, indicating robust resistance against differential attacks. Concurrently, the scheme supports lossless recovery of decrypted images and complete extraction of embedded information.

Authors

Institutions

Publication Details

Journal
Journal of King Saud University - Computer and Information Sciences
Published
2026-01-28
DOI
https://doi.org/10.1007/s44443-026-00479-y
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A dual-mode thumbnail-preserving encryption scheme based on chaotic system and reversible data hiding

Dezhi An, Lu Jun, Xin Pu, Xue Xia
Journal of King Saud University - Computer and Information Sciences
Chaos-based Image/Signal Encryption
article

A dual-mode thumbnail-preserving encryption scheme based on chaotic system and reversible data hiding

Dezhi An, Lu Jun, Xin Pu, Xue Xia
article en

Abstract

The widespread adoption of cloud storage has exposed user image data to privacy leakage risks. Traditional image encryption methods convert images into entirely unreadable formats, ensuring security yet severely restricting image usability (e.g., previewing, retrieval). Thumbnail Preserving Encryption (TPE) offers a novel approach to balancing privacy and usability by maintaining visual recognisability in encrypted images. However, existing TPE methods retain only coarse visual information, remaining inadequate for non-visual usability. To address this, we propose a dual-mode TPE scheme based on chaotic systems and reversible data hiding (RDH), aiming to simultaneously achieve image privacy protection and usability enhancement. A novel two-dimensional chaotic mapping is designed to drive a dual encryption mechanism of permutation and substitution. Combined with an improved histogram shifting algorithm, this approach enables lossless embedding of non-visual information within the encrypted domain. Experimental results demonstrate that the total time for encryption and information embedding is merely 0.5 seconds, with an NPCR value exceeding 0.99, indicating robust resistance against differential attacks. Concurrently, the scheme supports lossless recovery of decrypted images and complete extraction of embedded information.

Journal of King Saud University - Computer and Information Sciences
Gansu Agricultural University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 76%
Chaos-based Image/Signal Encryption
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.