Hybrid Encryption With Digitally Signed Optimal Key for Secured EHR Data Storage in Cloud Environment

IF 2.6 4区 计算机科学 Q3 TELECOMMUNICATIONS
V. Ambica, A. Viji Amutha Mary
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引用次数: 0

Abstract

Problem/Purpose

The electronic healthcare data (EHR) makes privacy preservation as paramount as it is composed of highly sensitive medical information. The conventional approaches have issues in managing the keys and the access control process. In modern society, the deployment of EHR storage has attained enormous effects. In the cloud-based EHR storage, security concerns may occur. The main purpose of the research is to ensure the security of the EHR data in the cloud environment.

Objective

To provide security to the EHR data, a hybrid encryption with a digitally signed optimal key is proposed in this research work. The objective of the research is to protect the EHR data from unauthorized users, and it helps to maintain secure EHR transactions between the authorized parties.

Methodology

In this developed scheme, the hybrid adaptive encryption scheme (HAES) is utilized for performing encryption over the EHR data, where encryption mechanisms such as elliptic curve cryptography (ECC) and attribute-based encryption (ABE) are used for developing the HAES. The optimal keys are generated for encrypting the EHR data using the modified bear smell search algorithm (MBSSA). The integrity of the EHR health data is improved by digitally signing an optimal key. For the secure transmission of data, the encrypted data is stored in the cloud.

Electronics Findings

The developed MBSSA–HAES method used 15 s for encryption and 8.5 s for the decryption process.

Conclusion

The implemented data security mechanism highly protects the sensitive EHR data in the cloud environment.

Abstract Image

云环境下电子病历数据安全存储的数字签名最优密钥混合加密
电子医疗数据(EHR)由高度敏感的医疗信息组成,因此隐私保护至关重要。传统的方法在管理密钥和访问控制过程方面存在问题。在现代社会,电子病历存储的部署已经取得了巨大的效果。在基于云的EHR存储中,可能会出现安全问题。研究的主要目的是确保云环境下电子病历数据的安全性。目的为了保证电子病历数据的安全性,提出了一种带有数字签名最优密钥的混合加密方法。研究的目的是保护电子病历数据不被未经授权的用户使用,并有助于维护授权方之间的安全电子病历交易。在该方案中,采用混合自适应加密方案(HAES)对EHR数据进行加密,其中使用椭圆曲线加密(ECC)和基于属性的加密(ABE)等加密机制来开发HAES。利用改进的熊气味搜索算法(MBSSA)生成最优密钥,对EHR数据进行加密。通过对最佳密钥进行数字签名,提高了EHR健康数据的完整性。为了保证数据的安全传输,加密后的数据存储在云端。开发的MBSSA-HAES方法加密时间为15秒,解密时间为8.5秒。结论所实施的数据安全机制对云环境下的敏感电子病历数据具有较高的保护作用。
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来源期刊
CiteScore
8.90
自引率
13.90%
发文量
249
期刊介绍: ransactions on Emerging Telecommunications Technologies (ETT), formerly known as European Transactions on Telecommunications (ETT), has the following aims: - to attract cutting-edge publications from leading researchers and research groups around the world - to become a highly cited source of timely research findings in emerging fields of telecommunications - to limit revision and publication cycles to a few months and thus significantly increase attractiveness to publish - to become the leading journal for publishing the latest developments in telecommunications
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