Anwar Ali Sathio, Mazhar Ali Dootio, A. Lakhan, M. Rehman, Ali Orangzeb Pnhwar, M. A. Sahito
{"title":"无处不在的未来医疗保健和区块链支持的数字身份-挑战和未来的意图","authors":"Anwar Ali Sathio, Mazhar Ali Dootio, A. Lakhan, M. Rehman, Ali Orangzeb Pnhwar, M. A. Sahito","doi":"10.1109/iCCECE52344.2021.9534846","DOIUrl":null,"url":null,"abstract":"These days, the usage of healthcare applications in the secure and authenticate blockchain network has been growing progressively. The distributed healthcare applications can store and shared data with another node without any centralized authority by exploiting the blockchain technology. However, existing proof of work inside blockchain did not consider the anomaly detection in healthcare networks and mobility of the workload widely ignored in the literature studies. In this paper, the study investigates the travelling salesman problem with the scheduling, threshold, and anomaly detection constraints in distributed fog nodes. The fog nodes are local servers and implementing inside the hospital to facilitate the users from different healthcare services. The study devises the mobility scheduler anomaly detection (MSAD) schemes which consist of two phases, e.g., the initial assignment of healthcare workloads to optimal fog nodes and anomaly detection and validation in the healthcare blockchain network. Simulation results show that MSAD outperformed in terms of scheduling, threshold, anomaly detection in the healthcare blockchain network as compared to baseline studies.","PeriodicalId":128679,"journal":{"name":"2021 International Conference on Computing, Electronics & Communications Engineering (iCCECE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Pervasive Futuristic Healthcare and Blockchain enabled Digital Identities-Challenges and Future Intensions\",\"authors\":\"Anwar Ali Sathio, Mazhar Ali Dootio, A. Lakhan, M. Rehman, Ali Orangzeb Pnhwar, M. A. Sahito\",\"doi\":\"10.1109/iCCECE52344.2021.9534846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"These days, the usage of healthcare applications in the secure and authenticate blockchain network has been growing progressively. The distributed healthcare applications can store and shared data with another node without any centralized authority by exploiting the blockchain technology. However, existing proof of work inside blockchain did not consider the anomaly detection in healthcare networks and mobility of the workload widely ignored in the literature studies. In this paper, the study investigates the travelling salesman problem with the scheduling, threshold, and anomaly detection constraints in distributed fog nodes. The fog nodes are local servers and implementing inside the hospital to facilitate the users from different healthcare services. The study devises the mobility scheduler anomaly detection (MSAD) schemes which consist of two phases, e.g., the initial assignment of healthcare workloads to optimal fog nodes and anomaly detection and validation in the healthcare blockchain network. Simulation results show that MSAD outperformed in terms of scheduling, threshold, anomaly detection in the healthcare blockchain network as compared to baseline studies.\",\"PeriodicalId\":128679,\"journal\":{\"name\":\"2021 International Conference on Computing, Electronics & Communications Engineering (iCCECE)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computing, Electronics & Communications Engineering (iCCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iCCECE52344.2021.9534846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computing, Electronics & Communications Engineering (iCCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iCCECE52344.2021.9534846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pervasive Futuristic Healthcare and Blockchain enabled Digital Identities-Challenges and Future Intensions
These days, the usage of healthcare applications in the secure and authenticate blockchain network has been growing progressively. The distributed healthcare applications can store and shared data with another node without any centralized authority by exploiting the blockchain technology. However, existing proof of work inside blockchain did not consider the anomaly detection in healthcare networks and mobility of the workload widely ignored in the literature studies. In this paper, the study investigates the travelling salesman problem with the scheduling, threshold, and anomaly detection constraints in distributed fog nodes. The fog nodes are local servers and implementing inside the hospital to facilitate the users from different healthcare services. The study devises the mobility scheduler anomaly detection (MSAD) schemes which consist of two phases, e.g., the initial assignment of healthcare workloads to optimal fog nodes and anomaly detection and validation in the healthcare blockchain network. Simulation results show that MSAD outperformed in terms of scheduling, threshold, anomaly detection in the healthcare blockchain network as compared to baseline studies.