Most Downloaded Big Data Research Articles - Elsevier.
Things, big data has become the hot topic of research across the world, at the same time, big data faces security risks and privacy protection during collecting, storing, analyzing and utilizing. This paper introduces the functions of big data, and the security threat faced by big data, then proposes the.
Big Data refers to large and disparate volumes of data generated by people, applications and machines. It is gaining increasing attention from a variety of domains, including education. What are the challenges of engaging with Big Data research in education? This paper identifies a wide range of critical issues that researchers need to consider when working with Big Data in education. The.
Research Paper: Information Security Technologies by Benjamin Tomhave November 10, 2004 Prepared for: Professor Dave Carothers EMSE 218 The George Washington University This paper or presentation is my own work. Any assistance I received in its preparation is acknowledged within the paper or presentation, in accordance with academic practice. If I used data, ideas, words, diagrams, pictures.
Big data security shouldn't mean big headaches. The era of big data is producing unprecedented amounts of data points giving us greater insights that drive exciting research, better business decisions, and in many ways, greater value for customers. To achieve these outcomes, organizations need to be able to handle it efficiently, quickly, and.
As big data becomes the new oil for the digital economy, realizing the benefits that big data can bring requires considering many different security and privacy issues. This in return implies that the entire big data pipeline needs to be revisited with security and privacy in mind. For example, while the big data is stored and recorded, appropriate privacy-aware access control policies need to.
Abstract: While Big Data gradually become a hot topic of research and business and has been everywhere used in many industries, Big Data security and privacy has been increasingly concerned. However, there is an obvious contradiction between Big Data security and privacy and the widespread use of Big Data. In this paper, we firstly reviewed the enormous benefits and challenges of security and.
Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of.