{"title":"使用区块链和图论的安全医疗保健系统","authors":"K.T.Yasas Mahima, T. Ginige","doi":"10.1145/3440084.3441217","DOIUrl":null,"url":null,"abstract":"In the rapid growth of information technology(IT) the internet of things (IoT) devices, cloud services, and smart devices play a major role in the healthcare sector and they have led a digital transformation in the présent healthcare services. Digital healthcare services have paved the way for easier and more accessible treatments, and making humans lives far more comfortable. However, in the present healthcare sector, two major focuses must be addressed. They are data security and data ownership. Currently, the number of data breaches compromising confidential healthcare data is on the rise. Recently large no of patients are impacted by data breaches. Moreover, the average cost of healthcare data breaches is going high. AS a solution for this authors suggest a well-secured data transformation and storing method is able to minimize this issue. Therefore in this research authors propose a Blockchain and Graph theory-based system to manage digital healthcare services. Since blockchains are secured because of its transparency in the proposed solution blockchain technology is used to share the data. Moreover, the health care sector is one of the massive big data generating fields. Therefore to make the processers efficient and secure the data, the authors propose a graph-related data storing method. The main objective of this research is to secure the health care data and minimize the data breaches in both data sharing and data storing components.","PeriodicalId":250100,"journal":{"name":"Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control","volume":"189 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Secured Healthcare System Using Blockchain and Graph Theory\",\"authors\":\"K.T.Yasas Mahima, T. Ginige\",\"doi\":\"10.1145/3440084.3441217\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the rapid growth of information technology(IT) the internet of things (IoT) devices, cloud services, and smart devices play a major role in the healthcare sector and they have led a digital transformation in the présent healthcare services. Digital healthcare services have paved the way for easier and more accessible treatments, and making humans lives far more comfortable. However, in the present healthcare sector, two major focuses must be addressed. They are data security and data ownership. Currently, the number of data breaches compromising confidential healthcare data is on the rise. Recently large no of patients are impacted by data breaches. Moreover, the average cost of healthcare data breaches is going high. AS a solution for this authors suggest a well-secured data transformation and storing method is able to minimize this issue. Therefore in this research authors propose a Blockchain and Graph theory-based system to manage digital healthcare services. Since blockchains are secured because of its transparency in the proposed solution blockchain technology is used to share the data. Moreover, the health care sector is one of the massive big data generating fields. Therefore to make the processers efficient and secure the data, the authors propose a graph-related data storing method. The main objective of this research is to secure the health care data and minimize the data breaches in both data sharing and data storing components.\",\"PeriodicalId\":250100,\"journal\":{\"name\":\"Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control\",\"volume\":\"189 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3440084.3441217\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3440084.3441217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Secured Healthcare System Using Blockchain and Graph Theory
In the rapid growth of information technology(IT) the internet of things (IoT) devices, cloud services, and smart devices play a major role in the healthcare sector and they have led a digital transformation in the présent healthcare services. Digital healthcare services have paved the way for easier and more accessible treatments, and making humans lives far more comfortable. However, in the present healthcare sector, two major focuses must be addressed. They are data security and data ownership. Currently, the number of data breaches compromising confidential healthcare data is on the rise. Recently large no of patients are impacted by data breaches. Moreover, the average cost of healthcare data breaches is going high. AS a solution for this authors suggest a well-secured data transformation and storing method is able to minimize this issue. Therefore in this research authors propose a Blockchain and Graph theory-based system to manage digital healthcare services. Since blockchains are secured because of its transparency in the proposed solution blockchain technology is used to share the data. Moreover, the health care sector is one of the massive big data generating fields. Therefore to make the processers efficient and secure the data, the authors propose a graph-related data storing method. The main objective of this research is to secure the health care data and minimize the data breaches in both data sharing and data storing components.