{"title":"面向数据管理的后量子安全电子医疗系统","authors":"M. Iavich, R. Bocu, G. Iashvili, R. Odarchenko","doi":"10.1109/aict52120.2021.9628896","DOIUrl":null,"url":null,"abstract":"The concept of a smart city as a broad concept implies a versatile collection, storage and processing of data for the urban community. Obviously, health data is prioritized. The collection of such data is made possible by wearable medical devices. Generally, the mentioned devices do not store any data they, at best, perform limited processing basic functions and have little or no additional processing the capabilities for the collected information. In this article is described an integrated distributed eHealth system that collects the health information from registered city residents and securely stores and processes medical information in the cloud by means of a comprehensive data privacy encryption model that is based on NTRU public-key cryptosystem. A hash-based digital signature mechanism is used to verify that medical data is correctly assigned to the person concerned. The hash-based digital signature scheme is improved by mean of the novel random number generator. The user data is collected by system using the client application module installed on the user’s smart watch or smartphone and safely transfers them to the cloud server. Similar processing of an encrypted data is occurred by means of Apache Spark service. The IBM OpenWhisk Programming Service is responsible for running event-based handlers. The prototype was tested in a real-world example involving five hundred citizens of Brasov, Romania.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Post-Quantum Secure e-Health System for the Data Management\",\"authors\":\"M. Iavich, R. Bocu, G. Iashvili, R. Odarchenko\",\"doi\":\"10.1109/aict52120.2021.9628896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of a smart city as a broad concept implies a versatile collection, storage and processing of data for the urban community. Obviously, health data is prioritized. The collection of such data is made possible by wearable medical devices. Generally, the mentioned devices do not store any data they, at best, perform limited processing basic functions and have little or no additional processing the capabilities for the collected information. In this article is described an integrated distributed eHealth system that collects the health information from registered city residents and securely stores and processes medical information in the cloud by means of a comprehensive data privacy encryption model that is based on NTRU public-key cryptosystem. A hash-based digital signature mechanism is used to verify that medical data is correctly assigned to the person concerned. The hash-based digital signature scheme is improved by mean of the novel random number generator. The user data is collected by system using the client application module installed on the user’s smart watch or smartphone and safely transfers them to the cloud server. Similar processing of an encrypted data is occurred by means of Apache Spark service. The IBM OpenWhisk Programming Service is responsible for running event-based handlers. The prototype was tested in a real-world example involving five hundred citizens of Brasov, Romania.\",\"PeriodicalId\":375013,\"journal\":{\"name\":\"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/aict52120.2021.9628896\",\"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 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/aict52120.2021.9628896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Post-Quantum Secure e-Health System for the Data Management
The concept of a smart city as a broad concept implies a versatile collection, storage and processing of data for the urban community. Obviously, health data is prioritized. The collection of such data is made possible by wearable medical devices. Generally, the mentioned devices do not store any data they, at best, perform limited processing basic functions and have little or no additional processing the capabilities for the collected information. In this article is described an integrated distributed eHealth system that collects the health information from registered city residents and securely stores and processes medical information in the cloud by means of a comprehensive data privacy encryption model that is based on NTRU public-key cryptosystem. A hash-based digital signature mechanism is used to verify that medical data is correctly assigned to the person concerned. The hash-based digital signature scheme is improved by mean of the novel random number generator. The user data is collected by system using the client application module installed on the user’s smart watch or smartphone and safely transfers them to the cloud server. Similar processing of an encrypted data is occurred by means of Apache Spark service. The IBM OpenWhisk Programming Service is responsible for running event-based handlers. The prototype was tested in a real-world example involving five hundred citizens of Brasov, Romania.