区块链框架下SARS-CoV-2感染肺部双交叉数字图像加密

Bannishikha Banerjee, A. Jani, Niraj S. Shah
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引用次数: 0

摘要

随着新冠肺炎疫情的扩散,科学界的创造力在努力控制疫情的同时也在蓬勃发展。他们正在尝试对病人进行有效的治疗,并与几乎耗尽的医疗设备和人员一起工作,同时培养新的、成功的抗体。成功筛查SARS-CoV-2有助于快速、熟练地确定COVID-19,并可减轻医疗保健框架的负担。正在创建许多预测模型,以了解和预测大流行病的传播,并避免下一波疫情。但在未来的时间里,我们可以肯定的是,这些模型将经历一些问题的不良影响,安全性就是其中之一。所有的模型都需要以这样一种方式建立,即在不损害患者隐私和安全的情况下,成功地进行调查任务。为了解决这个问题,我们提出了一个区块链框架,用于共享患者的个人数据或医疗报告。区块链将负责完整性部分,但我们仍然需要担心机密性。因此,将遗传方法与区块链结合起来似乎是一个好主意。本文提出了一种双重混合方法来解决保密问题。结果显示了所利用数据集的高熵完成。还检查了明文和密文的敏感性,并与现有方法进行了比较,从而证明了所提出方法在给定设置下的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Image Encryption Using Double Crossover Approach for SARS-CoV-2 Infected Lungs in a Blockchain Framework
As the (Covid-19) pandemic spreads, the creativity of the scientific community is thriving while trying to control the situation. They are trying to treat patients viably and work with the almost exhausted medical equipment and staff, while growing new, successful antibodies. Successful screening of SARS-CoV-2 empowers fast and proficient determination of COVID-19 and can relieve the weight on medical care frameworks. Numerous forecast models are being created to comprehend and prognosticate the spread of the pandemic and to stay away from the following wave. But in the coming time, we can be sure that the models would experience the ill effects of a few issues, security being one of them. All the models need to be built in such a way that the investigation task gets successfully conducted without compromising the privacy and security of the patients. To take care of this, we propose a blockchain framework for sharing patients’ personal data or medical reports. A blockchain will take care of the integrity part, but we still need to worry about confidentiality. Therefore, combining a genetic approach with a blockchain seemed like a good idea. A twofold hybrid methodology is proposed in this paper to tackle the issue of confidentiality. The outcomes displayed high entropy accomplishment for the utilized dataset. The sensitivity of the plaintext and ciphertext is also checked and compared with existing approaches which thus demonstrates the security of the proposed approach in the given setting.
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