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利用 AES 技术在不安全网络上实现放射图像的数据完整性。

Data Integrity of Radiology Images Over an Insecure Network Using AES Technique.

机构信息

Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.

Department of Information Science and Engineering, NIE Institute of Technology, Mysuru, India.

出版信息

Asian Pac J Cancer Prev. 2021 Jan 1;22(1):185-193. doi: 10.31557/APJCP.2021.22.1.185.

Abstract

BACKGROUND

While transmitting the medical images in radiology information systems the adversary effect can break the CIA (Confidentiality, Integrity, and Availability) triads of information security. The objective of the study was to transmit the complete set of image objects in a dataset without data integrity violation.

METHODS

In this paper a hybrid cryptographic technique which combines the prime details from the patient dataset (stack of axial 2D images) and the Advanced Encryption Standard (AES) method has been proposed. The steps include a) Creating an artificial X-ray image (DRR) from the 3D volume, b) dividing the DRR image in x and y directions equally into four regions, c) applying the zig-zag pattern to each quadrant, and d) encryption of each quadrant with block cipher mode using the AES algorithm. After dataset transmission the DRR image was regenerated at the receiver and compared each of the deciphered blocks (transmitted ones) using the histogram technique.

RESULTS

The technique was tested on CT and MRI scans of sixty datasets. The image injection techniques, such as adding and deleting an image from the dataset and modifying the image pixels, were tested. The results were validated statistically using mean square error and histogram matching techniques.

CONCLUSION

The combination of the DRR and the AES technique has ensured the secured transmission of the entire dataset and not an individual image.

摘要

背景

在放射信息系统中传输医学图像时,敌对效应可能会破坏信息安全的 CIA(机密性、完整性和可用性)三要素。本研究的目的是在不违反数据完整性的情况下传输数据集内的整套图像对象。

方法

本文提出了一种混合密码技术,该技术结合了来自患者数据集(轴向 2D 图像堆栈)的主要细节和高级加密标准 (AES) 方法。步骤包括:a)从 3D 体积创建人工 X 射线图像(DRR);b)将 DRR 图像沿 x 和 y 方向均等分为四个区域;c)对每个象限应用之字形模式;d)使用 AES 算法以块密码模式对每个象限进行加密。在数据集传输后,在接收器处重新生成 DRR 图像,并使用直方图技术比较每个解密块(传输的块)。

结果

该技术在六十个数据集的 CT 和 MRI 扫描上进行了测试。对图像注入技术(例如从数据集中添加和删除图像以及修改图像像素)进行了测试。使用均方误差和直方图匹配技术对结果进行了统计学验证。

结论

DRR 和 AES 技术的结合确保了整个数据集的安全传输,而不是单个图像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08b8/8184166/26c3cce4ca9a/APJCP-22-185-g001.jpg

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