Thumbnail-preserving encryption based on improved logistic system
Open accessAbstract
Plaintext images and images encrypted using traditional encryption schemes in cloud storage represent the extremes of usability and privacy. Recently, thumbnail-preserving encryption (TPE) has been proposed to balance the usability and privacy of images in the cloud. An ideal TPE scheme should achieve lossless decryption, the same thumbnail, low time complexity, and resistance to certain attacks, which are missing in existing TPE schemes. Motivated by this idea, we propose a new TPE scheme based on an improved logistic chaotic system, which takes advantage of the good dynamics of the chaotic system and withstands the experimental evaluations in terms of privacy and usability. In the encryption mechanism, we design the TPE scheme from the binary and rank-then-encrypt perspectives by randomly selecting pixels. Compared with the existing schemes, the proposed scheme can reach the ideal state with only one round of encryption. Meanwhile, the experimental results such as time cost, image visual quality and security analysis also show that the scheme has strong competitiveness.
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Zhu and Liu [204] constructed a point selection table using a modified Logistic mapping that generated more disordered selected points, resulting in increased confidentiality of the ciphertext image in thumbnail-holdout encryption.
“Utilizing a modified Logistic mapping, Zhu and Liu [204] constructed a point selection table that generated more disordered selected points, resulting in increased confidentiality of the ciphertext image in thumbnail-holdout encryption.”
From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [204]
Sections 4.2 and 4.3 describe using the improved logistic map’s chaotic sequence to index and randomly select pixels; the Introduction says this approach disrupts pixel correlations and makes the thumbnail-preserving encryption scheme more secure. Our copy does not describe constructing a “point selection table” or specifically show that such a table produces more disordered selected points. (LLM, conf=0.83)
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Cites
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Sorted by citations
Chaos-Based Image Encryption: Review, Application, and Challenges
Zhang, B., & Liu, L. (2023) · Mathematics · doi:10.3390/math11112585 · Cited by 328 · see citing works
“Utilizing a modified Logistic mapping, Zhu and Liu [204] constructed a point selection table that generated more disordered selected points, resulting in increased confidentiality of the ciphertext image in thumbnail-holdout encryption.”
MethodSelf-citation
- Authors
- Zhu, Z., & Liu, L.
- Affiliations
- Nanchang University (CN)
- Corresponding author
- Liu, Lingfeng
- Venue
- Journal of King Saud University - Computer and Information Sciences
- Published
- 2022-11
- Volume
- 34
- Issue
- 10
- Pages
- 10167-10179
- ISSN
- 1319-1578 (ISSN-L)
- OpenAlex
- W4306977188
- Cited by
- 24
- References
- 1
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 7 · 2023: 6
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of King Saud University - Computer and Information Sciences (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (61862042, 62262039)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Keywords
- image encryption, chaotic maps, cloud storage security, image privacy
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