Najah K. Almazmomi
Abstract
Today, in the area of telecommunication, social media, the internet of things (IoT), and the virtual world, enormous amounts of data are being generated which are extracted to discover knowledge. Knowledge discovery from data in the cloud-computing environment entails the extraction of the new and necessary ...
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Today, in the area of telecommunication, social media, the internet of things (IoT), and the virtual world, enormous amounts of data are being generated which are extracted to discover knowledge. Knowledge discovery from data in the cloud-computing environment entails the extraction of the new and necessary information from the large and complex datasets. This study is qualitative and exploratory in nature. To review based on the recent literature, the articles published in the last five years (2014-2018) were searched. Different databases were searched using the keywords: ‘Knowledge management’ or ‘Knowledge discover*’ and ‘Cloud computing.'. The literature review section is divided into three sub-section based on the findings. The first two sub-sections present the data security and data privacy concerns under two main techniques (Big data analytics and machine learning) used in knowledge discovery, and the last sub-section presents various protocols proposed to address the related security and privacy concerns. This review consolidates the related data security and privacy challenges under two techniques used for knowledge discovery in a cloud environment. Also, the review consolidates the proposals proposed by different experts to address the data security and privacy concerned