Reporting personal and corporate data for secure storage in cloud

Daniel Atkinson, Nick McDonald, Y. Khmelevsky
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引用次数: 2

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.
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报告个人和企业数据,安全存储在云上
本文研究了个人生物特征数据的生成、数据加密以及在基于云的数据库中存储这些数据。数据生成器模拟活动人员的运动和动作,以便在其他项目中进行详细分析。其中包括一份关于数据生成器在NoSQL文档数据库中实现不同数据加密算法和存储的性能报告。此外,本文还包含了使用模拟数据对NoSQL数据库(MongoDB、Couchbase、Elasticsearch和RethinkDB)的写入性能进行测试的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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