{"title":"区块链通过基于属性的加密编排安全医疗数据传输","authors":"M. Smitha Mohan , L. Sujihelen","doi":"10.1016/j.asej.2025.103562","DOIUrl":null,"url":null,"abstract":"<div><div>Electronic health records (EHRs) are crucial digital documents that contain patient medical information. Medical data sharing faces critical challenges, including a lack of robust security mechanisms, inefficiencies in sharing data, and significant vulnerabilities in maintaining privacy for EHRs. To overcome these challenges, a novel Blockchain ORchestrated Encryption for medical data (BORE-MED) has been suggested to enhance the security for managing sensitive medical information (SMI) of EHR in the healthcare sector. The proposed methodology employs the Attribute-Based Encryption (ABE) algorithm to encrypt the EHR data for enhancing data privacy. The Mirrored Byzantine Fault Tolerance (Mir-BFT) consensus algorithm is utilized securely storing and sharing EHRs. The proposed system has been evaluated using a Python simulator. The security of the suggested BORE-MED framework is 5.63%, 7.57%, and 8.9% higher than the existing BSC, BLE, and PPAC methods respectively. These findings reveal that the developed framework presents a secure data transmission in healthcare sector.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 10","pages":"Article 103562"},"PeriodicalIF":6.0000,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blockchain orchestrated secure medical data transmission via attribute-based encryption\",\"authors\":\"M. Smitha Mohan , L. Sujihelen\",\"doi\":\"10.1016/j.asej.2025.103562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Electronic health records (EHRs) are crucial digital documents that contain patient medical information. Medical data sharing faces critical challenges, including a lack of robust security mechanisms, inefficiencies in sharing data, and significant vulnerabilities in maintaining privacy for EHRs. To overcome these challenges, a novel Blockchain ORchestrated Encryption for medical data (BORE-MED) has been suggested to enhance the security for managing sensitive medical information (SMI) of EHR in the healthcare sector. The proposed methodology employs the Attribute-Based Encryption (ABE) algorithm to encrypt the EHR data for enhancing data privacy. The Mirrored Byzantine Fault Tolerance (Mir-BFT) consensus algorithm is utilized securely storing and sharing EHRs. The proposed system has been evaluated using a Python simulator. The security of the suggested BORE-MED framework is 5.63%, 7.57%, and 8.9% higher than the existing BSC, BLE, and PPAC methods respectively. These findings reveal that the developed framework presents a secure data transmission in healthcare sector.</div></div>\",\"PeriodicalId\":48648,\"journal\":{\"name\":\"Ain Shams Engineering Journal\",\"volume\":\"16 10\",\"pages\":\"Article 103562\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2025-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ain Shams Engineering Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S209044792500303X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209044792500303X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Blockchain orchestrated secure medical data transmission via attribute-based encryption
Electronic health records (EHRs) are crucial digital documents that contain patient medical information. Medical data sharing faces critical challenges, including a lack of robust security mechanisms, inefficiencies in sharing data, and significant vulnerabilities in maintaining privacy for EHRs. To overcome these challenges, a novel Blockchain ORchestrated Encryption for medical data (BORE-MED) has been suggested to enhance the security for managing sensitive medical information (SMI) of EHR in the healthcare sector. The proposed methodology employs the Attribute-Based Encryption (ABE) algorithm to encrypt the EHR data for enhancing data privacy. The Mirrored Byzantine Fault Tolerance (Mir-BFT) consensus algorithm is utilized securely storing and sharing EHRs. The proposed system has been evaluated using a Python simulator. The security of the suggested BORE-MED framework is 5.63%, 7.57%, and 8.9% higher than the existing BSC, BLE, and PPAC methods respectively. These findings reveal that the developed framework presents a secure data transmission in healthcare sector.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.