Machine-learning systems have proven their worth in various industries, including
healthcare and banking, by assisting in the extraction of valuable inferences. Information in …

For privacy-preserving analysing of big data, a deep learning method is proposed. The
method transforms the sensitive part of the personal information into non-sensitive data. To …

Data outsourcing has become indispensable to allow information sharing among multiple
parties. The users do not fully trust the cloud platform since it is operated by a third party …

Background: Big data analytics is the process of utilizing a collection of data accompanied
on the internet to store and retrieve anywhere and at any time. Big data is not simply a data …

Deep learning is widely used in artificial intelligence fields such as computer vision, natural
language recognition, and intelligent robots. With the development of deep learning …

The main intention of this paper is develop a technique for privacy preserving-aware over
big data in clouds using variation step size firefly algorithm and MapReduce framework. This …

Deep Learning is a useful method for classifying and recognizing complex data such as
images and text, and the accuracy of the deep learning method is the basis for making …

In recent years, deep learning (DL) has been ubiquitous in several areas, such as text
recognition and data analysis, limited by this and increasingly used in security and data …

This paper proposes a privacy preserving-aware-based approach over Big data in clouds
using GSA and MapReduce framework. It consists of two modules such as; MapReduce …

The goal of deep learning is to extract complex features from multidimensional data use the
features to create models that connect input and output. Deep learning is a process of …