{"title":"Hybrid Encryption With Digitally Signed Optimal Key for Secured EHR Data Storage in Cloud Environment","authors":"V. Ambica, A. Viji Amutha Mary","doi":"10.1002/ett.70461","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Problem/Purpose</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Methodology</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Electronics Findings</h3>\n \n <p>The developed MBSSA–HAES method used 15 s for encryption and 8.5 s for the decryption process.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The implemented data security mechanism highly protects the sensitive EHR data in the cloud environment.</p>\n </section>\n </div>","PeriodicalId":23282,"journal":{"name":"Transactions on Emerging Telecommunications Technologies","volume":"37 7","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2026-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions on Emerging Telecommunications Technologies","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ett.70461","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
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.
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