Galois Field-Based Image Encryption for Remote Transmission of Tumor Ultrasound Images

Wang, Nan; Di, Guixin; Lv, Xiaolan; Hou, Min; Liú, Dan; Zhang, Jun; Duan, Xiaojing

doi:10.1109/access.2019.2910563

Cited by 16 publications

(5 citation statements)

References 16 publications

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“…The medical domain and image search face critical issues that must be addressed in the proposed work. The implementation of the desired technique, the performance and classification of SVM 31 with the various kernel functions implemented in the system are evaluated, and the results are summarized. The brain tumor dataset was gathered at the Institute of Oncology, University Medical Centre Ljubljana, Yugoslavia.…”

Section: Proposed Solutionmentioning

confidence: 99%

Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM

Kumar,

Pandey,

varshney

et al. 2023

Sci Rep

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Brain tumors result from uncontrolled cell growth, potentially leading to fatal consequences if left untreated. While significant efforts have been made with some promising results, the segmentation and classification of brain tumors remain challenging due to their diverse locations, shapes, and sizes. In this study, we employ a combination of Discrete Wavelet Transform (DWT) and Principal Component Analysis (PCA) to enhance performance and streamline the medical image segmentation process. Proposed method using Otsu's segmentation method followed by PCA to identify the most informative features. Leveraging the grey-level co-occurrence matrix, we extract numerous valuable texture features. Subsequently, we apply a Support Vector Machine (SVM) with various kernels for classification. We evaluate the proposed method's performance using metrics such as accuracy, sensitivity, specificity, and the Dice Similarity Index coefficient. The experimental results validate the effectiveness of our approach, with recall rates of 86.9%, precision of 95.2%, F-measure of 90.9%, and overall accuracy. Simulation of the results shows improvements in both quality and accuracy compared to existing techniques. In results section, experimental Dice Similarity Index coefficient of 0.82 indicates a strong overlap between the machine-extracted tumor region and the manually delineated tumor region.

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Section: Proposed Solutionmentioning

confidence: 99%

Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM

Kumar,

Pandey,

varshney

et al. 2023

Sci Rep

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show abstract

“…In [15], the secure transmission of medical records through a community network is managed effectively. To improve protection and confirmation of medical proceedings, a watermark method is used for identification and reference.…”

Section: Summary Of Related Workmentioning

confidence: 99%

Medical Image Transmission Using Novel Crypto-Compression Scheme

Mashat¹,

Bhatia²,

Kumar³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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“…SHA-256 was also used to obtain the initial values for secret keys. In [42], Wang et al encrypted the medical images based on Galois field. In [43], Shankar et al used adaptive grasshopper optimization algorithm to select the optimal secret key to encrypt the medical images.…”

Section: Literature Reviewmentioning

confidence: 99%

Securing E-Healthcare Images Using an Efficient Image Encryption Model

Jain

2022

Scientific Programming

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With the advancements in e-healthcare services, it is possible to provide remote medical services to patients and swifter first aid. Medical images play an essential role in e-healthcare applications for providing quick and better remote diagnosis and treatment to patients. Medical images generally comprise secret details about the patients and are therefore prone to various security threats during their transmission over public networks. Thus, it is required to secure these images prior to their communication over public networks. But due to distinctive properties of medical images, like higher correlation and redundancy among the pixels, and larger size, it is required to design an efficient encryption model to resist against various security threats. In this paper, an efficient encryption model for medical images is proposed. To obtain the secret keys, six-dimensional hyperchaotic map (SDHM) is proposed. Firstly, plain medical image is divided into three channels such as red, green, and blue. Secret keys are used to diffuse these channels. Lastly, encrypted channels are concatenated and final encrypted medical image is obtained. Extensive experiments are drawn by considering the benchmark medical images. Also, comparisons are performed among the proposed SDHM and competitive techniques by considering various performance metrics. Comparative analysis reveals that the proposed SDHM achieves remarkably good performance than the existing encryption models.

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Galois Field-Based Image Encryption for Remote Transmission of Tumor Ultrasound Images

Cited by 16 publications

References 16 publications

Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM

Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM

Medical Image Transmission Using Novel Crypto-Compression Scheme

Securing E-Healthcare Images Using an Efficient Image Encryption Model

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