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Cited by 9Chaos-based Image/Signal EncryptionImage Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques

Image Security Retrieval Based on Chaotic Algorithm and Deep Learning

Open access
Zhang, Qing, Yan, Yong, Lin, Yong, Li, Yan·2022·IEEE Access
DOI 10.1109/access.2022.3185421
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Abstract

At present, most image retrieval methods are based on plain-text images which poses a threat to some professional fields, such as medicine, military, and finance. In order to achieve greater security for the network transmission security of the image, we establish a deep artificial neural network model to extract features by sample training. Then an image-encryption algorithm that matches and secures image retrieval is designed and integrated into an image-retrieval process based on deep learning. Experiments on multiple authoritative datasets show that the proposed algorithm can not only achieve secure retrieval of ciphertext images, but also improve retrieval efficiency obviously. Specifically, the experimental results on five data sets show that compared with the average performance of 16 comparison algorithms, each evaluation indicator has been significantly improved in our research, withPreincreased by 12.54% - 88.20%,Recincreased by 1.46% - 10.95%,F1increased by 2.86% - 13.55% andmAPincreased by 16.64% - 82.47%. Futhermore, the successful realization of the ciphertext retrieval provides some reference for the information security retrieval research.

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  • Qing Zhang and Yong Yan [192] combined chaos-based image encryption with a deep learning model and realized safe retrieval of images while effectively hiding the content information of the original image using a fusion method of a feature vector and ciphertext.

    “Recently, Qing Zhang and Yong Yan [192] combined chaos-based image encryption with a deep learning model and realized the safe retrieval of images while effectively hiding the content information of the original image using a fusion method of a feature vector and ciphertext.”

    From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [192]

  • The safety retrieval function of images with a small sample size is not perfect in [192].

    “However, a remaining deficiency is that the safety retrieval function of images with a small sample size is not perfect.”

    From Chaos-Based Image Encryption: Review, Application, and Challenges (2023) · cites this paper as [192]

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Cited by

Sorted by citations

Authors
Zhang, Q., Yan, Y., Lin, Y., & Li, Y.
Affiliations
  • Ningxia Normal University (CN)
  • North University of China (CN)
  • School of Physics and Electronic Information Engineering, Ningxia Normal University, Guyuan, China
Corresponding author
Yan, Yong
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2022
Volume
10
Pages
67210-67218
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2022.3185421
OpenAlex
W4285065455
Cited by
9
References
1
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 4
FWCI
0.65
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Access (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Top Discipline Construction (Pedagogy), Foundation of Colleges and Universities of Ningxia, China (NXYLXK2017B11)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
Keywords
image encryption, ciphertext retrieval, chaotic algorithms, deep feature extraction

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