{"title":"报告个人和企业数据，安全存储在云上","authors":"Daniel Atkinson, Nick McDonald, Y. Khmelevsky","doi":"10.1109/ICCCF.2016.7740436","DOIUrl":null,"url":null,"abstract":"This paper investigates the generation of personal biometric data, encryption of data, and the storage of such data in a cloud based database. The data generator simulates the movement and action of an active person for detailed analysis in other projects. Included is a report on the performance of the data generator implementing different data encryption algorithms and storage in NoSQL document databases. Additionally this paper contains results of experiments from tests on the writing performance of the NoSQL databases (MongoDB, Couchbase, Elasticsearch and RethinkDB) using the emulated data.","PeriodicalId":281072,"journal":{"name":"2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Reporting personal and corporate data for secure storage in cloud\",\"authors\":\"Daniel Atkinson, Nick McDonald, Y. Khmelevsky\",\"doi\":\"10.1109/ICCCF.2016.7740436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the generation of personal biometric data, encryption of data, and the storage of such data in a cloud based database. The data generator simulates the movement and action of an active person for detailed analysis in other projects. Included is a report on the performance of the data generator implementing different data encryption algorithms and storage in NoSQL document databases. Additionally this paper contains results of experiments from tests on the writing performance of the NoSQL databases (MongoDB, Couchbase, Elasticsearch and RethinkDB) using the emulated data.\",\"PeriodicalId\":281072,\"journal\":{\"name\":\"2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF)\",\"volume\":\"125 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCF.2016.7740436\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCF.2016.7740436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reporting personal and corporate data for secure storage in cloud
This paper investigates the generation of personal biometric data, encryption of data, and the storage of such data in a cloud based database. The data generator simulates the movement and action of an active person for detailed analysis in other projects. Included is a report on the performance of the data generator implementing different data encryption algorithms and storage in NoSQL document databases. Additionally this paper contains results of experiments from tests on the writing performance of the NoSQL databases (MongoDB, Couchbase, Elasticsearch and RethinkDB) using the emulated data.
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