Mechanisms and Techniques to Enhance the Security of Big Data Analytic Framework with Mongodb and Linux Containers

Mailewa, Akalanka; Mengel, Susan; Khan, Hafiz

doi:10.2139/ssrn.3990567

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…We look at security issues for cloud computing applications that are just getting started. Since Cloud Computing refers to both applications that provide services over the Internet and infrastructures (i.e., hardware and network software in data centers) that provide these services, additional security concerns, like variability, confidentiality, honesty protection, authorization, and so on, should be addressed [21]. In addition, the cloud computing is based on utility which provides infrastructure services on demand.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Data Encryption Efficiencies for Secure Cloud Storages: A Case Study of Pcloud vs OneDrive vs Dropbox

Gamnis¹,

VanderLinden²,

Mailewa

2022

Adv. Technol.

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Now more than ever has it become important to keep the information confidential in an age that is losing its value of individual privacy. In this cloud computing era, regardless of the power of the cloud computing concept, many people do not know that their information can be used and sent to third parties from their cloud storage provider. Today the use of cloud storage is well established however the security of protecting the data on the cloud is a limited thought for most users. Therefore, this study aims to experimentally research which encryption program works best when storing data onto three of the main cloud storage providers currently available on the market. This study will go over the hardware and network impact as well as the time to encrypt and decrypt the data. This study will determine if “7zip” or “rclone” encryption programs work best with these three cloud storage. The data will be collected using NetData tool and accordingly determine which encryption application works best with which cloud storage provider. Thereafter, based on the data analysis, it is recommended that experimental outcomes to all users to keep their sensitive data secured and safe from snooping or prevent private information from being collected and sold to third parties with the help of black market.

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Section: Introductionmentioning

confidence: 99%