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Secure Transmission of DICOM Images by comparing different cryptographic algorithms
انتقال ایمن تصاویر DICOM با مقایسه الگوریتم های رمزنگاری مختلف-2019 This paper aims to implement the concept of preserving the Confidentiality and Integrity of DICOM Images Using Cryptographic
Algorithms. This work uses two types of cryptographic algorithms namely AES (Advanced Encryption Standard) and Blake
Hash Function. Using these algorithms, we implement and check the confidentiality and integrity of DICOM images. Our
proposed system also ensures that the images are transferred from one hospital database to another in a secure manner and the
system will be able to tackle any changes while the image is being transferred. The initial concern of the system lies in providing
confidentiality in the communication of the images which can be done using AES algorithm. The integrity can be provided using
Blake Hash Function. The comparative analysis of AES with other algorithms such as Triple DES, IDEA, Blowfish and SEED
with respect to their execution time is also done. In this work, DICOM files are taken as input and then kept in the encrypted
format for storage purpose and also they can be sent over the network in the encrypted format. Keywords: DICOM images | Confidentiality | Integrity | Cryptography | Advanced Encryption Standard (AES) | Blake Hash Function |
مقاله انگلیسی |
2 |
ECG encryption and identification based security solution on the Zynq SoC for connected health systems
رمزگذاری ECG و شناسایی بر اساس راه حل امنیتی در Zynq SoC برای سیستم های بهداشتی متصل-2017 Article history:Received 10 May 2016 Received in revised form 12 November 2016Accepted 12 December 2016Available online 23 December 2016Keywords:Advanced encryption standard (AES)Electrocardiogram (ECG) encryption and identificationField programmable gate array (FPGA) Zynq7 system on chip (SoC)Connected health is a technology that associates medical devices, security devices and communication technologies. It enables patients to be monitored and treated remotely from their home. Patients’ data and medical records within a connected health system should be securely stored and transmitted for further analysis and diagnosis. This paper presents a set of security solutions that can be deployed in a connected health environment, which includes the advanced encryption standard (AES) algorithm and electrocardiogram (ECG) identification system. Efficient System-on-Chip (SoC) implementations for the proposed algorithms have been carried out on the Xilinx ZC702 prototyping board. The Achieved hardware implementation results have shown that the proposed AES and ECG identification based system met the real-time requirements and outperformed existing field programmable gate array (FPGA)-based systems in different key performance metrics such as processing time, hardware resources and power consumption. The proposed systems can process an ECG sample in 10.71 ms and uses only 30% of the available hardware resources with a power consumption of 107 mW.© 2016 Elsevier Inc. All rights reserved. Keywords:Advanced encryption standard (AES) | Electrocardiogram (ECG) encryption andidentification | Field programmable gate array (FPGA) | Zynq7 system on chip (SoC) |
مقاله انگلیسی |