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Mathematics
Special Issues
Information Security and Image Processing
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Information Security and Image Processing

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 2661

Special Issue Editors

Dr. Yi-Hui Chen

E-Mail Website
Guest Editor
Department of Information Management, Chang Gung University, Taoyuan City 333, Taiwan
Interests: information security; image processing
Dr. Ya-Fen Chang

E-Mail Website
Guest Editor
Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City 404, Taiwan
Interests: cryptography; information security; network security

Special Issue Information

Dear Colleagues,

Over the years, extensive research has been conducted in the fields of information security and image processing, covering various topics such as cryptography, privacy preservation, secret communications, and specialized areas like medical image processing. This Special Issue is dedicated to exploring both well-established and emerging technologies and concerns within these domains. Its primary objective is to provide a platform for original discussions and to foster future advancements in related areas, which include, but are not limited to, cryptography, deepfake detection, person re-identification, face forgery detection, encryption/decryption, privacy preservation, steganographic/watermarking techniques, secret communication techniques/protocols, secure IOT related design, blockchain, secure database design, security protocol design, wireless security issues, and mobile information security.

Dr. Yi-Hui Chen
Dr. Ya-Fen Chang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • information security
  • cryptography
  • block chain
  • person re-identification
  • face forgery detection
  • image processing
  • privacy preserving
  • deep fake detection
  • steganography, watermarking, steganalysis
  • IoT security
  • wireless security
  • network security
  • medical image processing

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Published Papers (2 papers)

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Research

16 pages, 16154 KiB  
Article
A Hierarchical Authorization Reversible Data Hiding in Encrypted Image Based on Secret Sharing
by Chao Jiang, Minqing Zhang, Yongjun Kong, Zongbao Jiang and Fuqiang Di
Mathematics 2024, 12(14), 2262; https://doi.org/10.3390/math12142262 - 19 Jul 2024
Viewed by 826
Abstract
In the current distributed environment, reversible data hiding in encrypted domain (RDH-ED) cannot grant corresponding privileges according to users’ identity classes. To address this issue, this paper proposes a hierarchical authorization structure embedding scheme based on secret image sharing (SIS) and users’ hierarchical [...] Read more.
In the current distributed environment, reversible data hiding in encrypted domain (RDH-ED) cannot grant corresponding privileges according to users’ identity classes. To address this issue, this paper proposes a hierarchical authorization structure embedding scheme based on secret image sharing (SIS) and users’ hierarchical identities. In the first embedding, the polynomial coefficient redundancy generated in the encryption process of the SIS is utilized by the image owner. For the second, the participants are categorized into two parts. One is core users with adaptive difference reservation embedding, and the other is ordinary users with pixel bit replacement embedding. At the time of reconstruction, more than one core user must provide pixel differences, which grants more privileges to core users. The experimental results demonstrate that the average embedding rate (ER) of the test images is 4.3333 bits per pixel (bpp) in the (3, 4) threshold scheme. Additionally, the reconstructed image achieves a PSNR of +∞ and an SSIM of 1. Compared to existing high-performance RDH-ED schemes based on secret sharing, the proposed scheme with a larger ER maintains strong security and reversibility. Moreover, it is also suitable for multiple embeddings involving multilevel participant identities. In conclusion, the results underscore the efficacy of our technique in achieving both security and performance objectives within a complex distributed setting. Full article
(This article belongs to the Special Issue Information Security and Image Processing)
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19 pages, 2755 KiB  
Article
Fine-Grained Encrypted Image Retrieval in Cloud Environment
by Yi-Hui Chen and Min-Chun Huang
Mathematics 2024, 12(1), 114; https://doi.org/10.3390/math12010114 - 28 Dec 2023
Viewed by 1173
Abstract
With the growing emphasis on privacy awareness, there is an increasing demand for privacy-preserving encrypted image retrieval and secure image storage on cloud servers. Nonetheless, existing solutions exhibit certain shortcomings regarding retrieval accuracy, the capacity to search large images from smaller ones, and [...] Read more.
With the growing emphasis on privacy awareness, there is an increasing demand for privacy-preserving encrypted image retrieval and secure image storage on cloud servers. Nonetheless, existing solutions exhibit certain shortcomings regarding retrieval accuracy, the capacity to search large images from smaller ones, and the implementation of fine-grained access control. Consequently, to rectify these issues, the YOLOv5 technique is employed for object detection within the image, capturing them as localized images. A trained convolutional neural network (CNN) model extracts the feature vectors from the localized images. To safeguard the encrypted image rules from easy accessibility by third parties, the image is encrypted using ElGamal. In contrast, the feature vectors are encrypted using the skNN method to achieve ciphertext retrieval and then upload this to the cloud. In pursuit of fine-grained access control, a role-based multinomial access control technique is implemented to bestow access rights to local graphs, thereby achieving more nuanced permission management and heightened security. The proposed scheme introduces a comprehensive cryptographic image retrieval and secure access solution, encompassing fine-grained access control techniques to bolster security. Ultimately, the experiments are conducted to validate the proposed solution’s feasibility, security, and accuracy. The solution’s performance across various facets is evaluated through these experiments. Full article
(This article belongs to the Special Issue Information Security and Image Processing)
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