{"title":"A Consortium Medical Blockchain Data Storage and Sharing Model Based on IPFS","authors":"Shuanggen Liu, Hong Tang","doi":"10.1145/3450588.3450944","DOIUrl":null,"url":null,"abstract":"As an important information resource, patients' medical data can not only help them to monitor their physical conditions and check the hidden risks of diseases;it an also provide strong evidence for doctor-patient disputes and promote the development of medical field.However, most medical institutions use centralized servers to centrally manage patients' electronic medical data.Such centralized servers have opaque data storage and are prone to suffer from single point of failure,leading to easy tampering or even deletion of medical data,At the same time, different standards of data management among medical institutions make it difficult to circulate and share data among institutions.The purpose of this paper is to realize efficient data sharing and patient access control of medical data under the condition of guaranteeing the safe storage of bulk medical data.Combining decentralized blockchain technology with distributed file storage platform IPFS, a federated medical blockchain data storage access model based on IPFS is proposed.The model uses the multi-privilege attribute-base encryption algorithm (MA-ABE) to encrypt the data to ensure the safety of the patient's medical data during transmission and the patient's ability to control their own medical data.Meanwhile the private IPFS network is built to improve the upload and download rate of encrypted data.This paper introduces the components and principles of the model and elaborates the flow of data upload and access.In the mean time, evaluate the performance of the model, summarize the advantages and disadvantages of the model and the next research of the paper.","PeriodicalId":150426,"journal":{"name":"Proceedings of the 2021 4th International Conference on Computers in Management and Business","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 4th International Conference on Computers in Management and Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3450588.3450944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
As an important information resource, patients' medical data can not only help them to monitor their physical conditions and check the hidden risks of diseases;it an also provide strong evidence for doctor-patient disputes and promote the development of medical field.However, most medical institutions use centralized servers to centrally manage patients' electronic medical data.Such centralized servers have opaque data storage and are prone to suffer from single point of failure,leading to easy tampering or even deletion of medical data,At the same time, different standards of data management among medical institutions make it difficult to circulate and share data among institutions.The purpose of this paper is to realize efficient data sharing and patient access control of medical data under the condition of guaranteeing the safe storage of bulk medical data.Combining decentralized blockchain technology with distributed file storage platform IPFS, a federated medical blockchain data storage access model based on IPFS is proposed.The model uses the multi-privilege attribute-base encryption algorithm (MA-ABE) to encrypt the data to ensure the safety of the patient's medical data during transmission and the patient's ability to control their own medical data.Meanwhile the private IPFS network is built to improve the upload and download rate of encrypted data.This paper introduces the components and principles of the model and elaborates the flow of data upload and access.In the mean time, evaluate the performance of the model, summarize the advantages and disadvantages of the model and the next research of the paper.