Healthcare Security Based on Blockchain within Multi-parameter Chaotic Map

A. Drebee, A. Topcu, Yasamin Alagrash
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引用次数: 1

Abstract

Healthcare-related costs still pose problems despite the availability of large quantities of healthcare information. In this paper we propose reducing health-related costs while not violating the privacy of information related to the patients, and we also address the authentication of the blockchain. This study makes use of raw data by processing it in a reasonable way to provide effective and less costly healthcare services along with the needed privacy and ease of accessibility of information to the relevant providers. The current paper utilizes the properties of the logistic map as SHA-256 calculates the hash value for the plain text, with the results being applied to change the initial keys for the logistic map. For expansion of the chaotic region of the logistic map and for making it better suited for the generation key, a mixture of multiple parameters of the logistic map key generation is proposed. Algorithm 2 shows how to generate a new key for the hash function for the new block. A key generator based on logistic map theory can be applied. The key generator is not meant to regenerate, which means that it is not possible to regenerate the same key. Therefore, the authentication is strengthened.
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基于多参数混沌映射的区块链医疗安全研究
尽管有大量的医疗保健信息,但与医疗保健相关的费用仍然构成问题。在本文中,我们建议在不侵犯患者相关信息隐私的情况下降低与健康相关的成本,并解决区块链的身份验证问题。本研究利用原始数据,以合理的方式对其进行处理,以提供有效且成本较低的医疗保健服务,同时提供所需的隐私和相关提供商易于访问的信息。本文利用逻辑映射的属性作为SHA-256计算纯文本的哈希值,并将结果应用于更改逻辑映射的初始键。为了扩大逻辑映射的混沌区域并使其更适合生成密钥,提出了一种多参数混合的逻辑映射密钥生成方法。算法2展示了如何为新块的哈希函数生成一个新密钥。可以采用基于逻辑映射理论的密钥生成器。密钥生成器不打算重新生成,这意味着不可能重新生成相同的密钥。因此,加强了认证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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