Reporting personal and corporate data for secure storage in cloud
Daniel Atkinson, Nick Mcdonald, Youry Khmelevsky · 2016
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.