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Toward Securing Cloud-Based Data Analytics: A Discussion on Current Solutions and Open Issues

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>1/04/2019
<mark>Journal</mark>IEEE Access
Volume7
Number of pages19
Pages (from-to)45632-45650
Publication statusPublished
Original languageEnglish

Abstract

In the last few years, organizations and business professionals have realized the value of data analytics in supporting decision-making. Where several activities are performed on on-line data by different stakeholders, such as cleansing, aggregation, analysis and visualization, cloud-based data analytics has become a favored choice for business professionals due to the elasticity, availability, scalability, and pay-as-you-go features offered by cloud computing. However, large amounts of data stored on the cloud are very sensitive (e.g., innovation, financial, legal, customers’ data), and so data privacy remains one of the top concerns for many reasons;mainly those relating to legal or competition issues. In this paper, we review the security and cryptographic mechanisms which aim to make data analytics secure in a cloud environment, and discuss current research challenges.