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Security Issues Of Big Data Hadoop


Security Issues Of Big Data Hadoop
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Download Security Issues Of Big Data Hadoop PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Security Issues Of Big Data Hadoop book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Security Privacy And Forensics Issues In Big Data


Security Privacy And Forensics Issues In Big Data
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Author : Joshi, Ramesh C.
language : en
Publisher: IGI Global
Release Date : 2019-08-30

Security Privacy And Forensics Issues In Big Data written by Joshi, Ramesh C. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-30 with Computers categories.


With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.



Privacy And Security Issues In Big Data


Privacy And Security Issues In Big Data
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Author : Pradip Kumar Das
language : en
Publisher: Springer Nature
Release Date : 2021-04-23

Privacy And Security Issues In Big Data written by Pradip Kumar Das and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-23 with Computers categories.


This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of “Business Intelligence”. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.



Security Issues Of Big Data Hadoop


Security Issues Of Big Data Hadoop
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Author : Rohit Sharma
language : en
Publisher: GRIN Verlag
Release Date : 2018-03-05

Security Issues Of Big Data Hadoop written by Rohit Sharma and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-05 with Computers categories.


Scientific Essay from the year 2018 in the subject Computer Science - IT-Security, grade: 2, , language: English, abstract: In this we discuss security issues for big data Hadoop environment. Big data applications are a great benefit to organization, business and in many small and large scale industries. Security and privacy issues are magnified by velocity, variety and volume of big data. Hadoop projects security as top agenda which in turn represents classified as critical term. With the increasing acceptance of Hadoop, there is increasing trend to create a vast security feature. Therefore a traditional security mechanism, which are tailored to securing a small scale static data are in adequate. The important issues relating to Hadoop are authentication, authorization, editing and encryption within a cluster. In this paper we have highlighted different security aspects of big data Hadoop.



Big Data Concepts Theories And Applications


Big Data Concepts Theories And Applications
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Author : Shui Yu
language : en
Publisher: Springer
Release Date : 2016-03-03

Big Data Concepts Theories And Applications written by Shui Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-03 with Computers categories.


This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.



Applied Big Data Analytics In Operations Management


Applied Big Data Analytics In Operations Management
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Author : Kumar, Manish
language : en
Publisher: IGI Global
Release Date : 2016-09-30

Applied Big Data Analytics In Operations Management written by Kumar, Manish and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-30 with Business & Economics categories.


Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.



Cybersecurity Breaches And Issues Surrounding Online Threat Protection


Cybersecurity Breaches And Issues Surrounding Online Threat Protection
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Author : Moore, Michelle
language : en
Publisher: IGI Global
Release Date : 2016-12-12

Cybersecurity Breaches And Issues Surrounding Online Threat Protection written by Moore, Michelle and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.


Technology has become deeply integrated into modern society and various activities throughout everyday life. However, this increases the risk of vulnerabilities, such as hacking or system errors, among other online threats. Cybersecurity Breaches and Issues Surrounding Online Threat Protection is an essential reference source for the latest scholarly research on the various types of unauthorized access or damage to electronic data. Featuring extensive coverage across a range of relevant perspectives and topics, such as robotics, cloud computing, and electronic data diffusion, this publication is ideally designed for academicians, researchers, computer engineers, graduate students, and practitioners seeking current research on the threats that exist in the world of technology.



Trends In Communication Cloud And Big Data


Trends In Communication Cloud And Big Data
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Author : Hiren Kumar Deva Sarma
language : en
Publisher: Springer Nature
Release Date : 2020-01-02

Trends In Communication Cloud And Big Data written by Hiren Kumar Deva Sarma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-02 with Technology & Engineering categories.


This book presents the outcomes of the Third National Conference on Communication, Cloud and Big Data (CCB) held on November 2–3, 2018, at Sikkim Manipal Institute of Technology, Majitar, Sikkim. Featuring a number of papers from the conference, it explores various aspects of communication, computation, cloud, and big data, including routing in cognitive radio wireless sensor networks, big data security issues, routing in ad hoc networks, routing protocol for Internet of things (IoT), and algorithm for imaging quality enhancement.



Data Intensive Computing Applications For Big Data


Data Intensive Computing Applications For Big Data
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Author : M. Mittal
language : en
Publisher: IOS Press
Release Date : 2018-01-31

Data Intensive Computing Applications For Big Data written by M. Mittal and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-31 with Computers categories.


The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.



Enterprise Big Data Engineering Analytics And Management


Enterprise Big Data Engineering Analytics And Management
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Author : Atzmueller, Martin
language : en
Publisher: IGI Global
Release Date : 2016-06-01

Enterprise Big Data Engineering Analytics And Management written by Atzmueller, Martin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-01 with Computers categories.


The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.



Advanced Intelligent Systems For Sustainable Development Ai2sd 2019


Advanced Intelligent Systems For Sustainable Development Ai2sd 2019
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Author : Mostafa Ezziyyani
language : en
Publisher: Springer Nature
Release Date : 2019-10-11

Advanced Intelligent Systems For Sustainable Development Ai2sd 2019 written by Mostafa Ezziyyani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-11 with Technology & Engineering categories.


This proceedings book presents extended versions of papers on advanced intelligent systems for networks and system selected from the second edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2019), which was held on 8–11 July 2019 in Marrakech, Morocco. The book explores a number of aspects of networks and systems design issues, and focuses on the latest research developments in a number of areas, including various aspects of modern networking such as smart networked systems, network protocols and performance, security and privacy, mobile and wireless systems, Internet of things, artificial intelligence and expert systems, and cloud computing, as well as enabling technologies. The book also examines the area of intelligence, comprehensively examining a range of important topics like intelligent collaborative systems for work and learning, security, organization, management and autonomic computing for intelligent networking and collaborative systems, wireless and sensor systems for intelligent networking and collaborative systems, data mining and knowledge management for intelligent networking and collaborative systems, data for Internet of things, and cloud computing. Each chapter presents the state of the art in a specific topic as well as the results of research and laboratory experiments, and successful applications. The book is intended for academic and industry researchers and telecommunication network engineers wanting to gain insights into these areas, particularly in the context of Industry 4.0.