Big Data Security

Big Data Security
Author: Shibakali Gupta
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 223
Release: 2019-10-08
Genre: Computers
ISBN: 3110605961

After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.

The Realities of Securing Big Data

The Realities of Securing Big Data
Author: Davi Ottenheimer
Publisher: Wiley
Total Pages: 0
Release: 2019-07-01
Genre: Computers
ISBN: 9781118559215

Big data requires big security; here's what you need to know More data is collected, at a higher speed, in more formats than ever before. Traditional information security simply has been unable to keep up with this transformation, which presents IT managers with a difficult dilemma. On the one hand everyone from the smallest company to the largest government is beginning to make use of giant lakes of information. The value proposition is clear. On the other hand, more harm than benefit looms when considering many of the realities of big data security. Even without specific solutions there may be workarounds and compensating controls to consider. The Realities of Big Data helps IT leaders identify how and where to best protect Big Data environments from disclosure, disruption or loss. Reveals emerging security risks of Big Data from the view of both IT and business management. Details the underlying reasons behind security gaps, how to find the gaps quickly and reliably, the options to consider for reducing risk from those gaps and the most likely dangers to avoid until choices improve. Shows how to balancing performance and progress against safety and control Presents measuring results and improving risk management Offers compensating controls and workarounds Shows how to leverage Big Data environments for security Organizations need to carefully manage risks to their data as more important decisions are based on it. If you're a manager, architect, or developer charged with a big data project, you should have a copy of The Realities of Securing Big Data.

Effective Big Data Management and Opportunities for Implementation

Effective Big Data Management and Opportunities for Implementation
Author: Singh, Manoj Kumar
Publisher: IGI Global
Total Pages: 345
Release: 2016-06-20
Genre: Computers
ISBN: 1522501835

“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.

Privacy in the Age of Big Data

Privacy in the Age of Big Data
Author: Theresa Payton
Publisher: Rowman & Littlefield
Total Pages: 277
Release: 2014-01-16
Genre: Computers
ISBN: 1442225467

Digital devices have made our busy lives a little easier and they do great things for us, too – we get just-in-time coupons, directions, and connection with loved ones while stuck on an airplane runway. Yet, these devices, though we love them, can invade our privacy in ways we are not even aware of. The digital devices send and collect data about us whenever we use them, but that data is not always safeguarded the way we assume it should be to protect our privacy. Privacy is complex and personal. Many of us do not know the full extent to which data is collected, stored, aggregated, and used. As recent revelations indicate, we are subject to a level of data collection and surveillance never before imaginable. While some of these methods may, in fact, protect us and provide us with information and services we deem to be helpful and desired, others can turn out to be insidious and over-arching. Privacy in the Age of Big Data highlights the many positive outcomes of digital surveillance and data collection while also outlining those forms of data collection to which we do not always consent, and of which we are likely unaware, as well as the dangers inherent in such surveillance and tracking. Payton and Claypoole skillfully introduce readers to the many ways we are “watched” and how to change behaviors and activities to recapture and regain more of our privacy. The authors suggest remedies from tools, to behavior changes, to speaking out to politicians to request their privacy back. Anyone who uses digital devices for any reason will want to read this book for its clear and no-nonsense approach to the world of big data and what it means for all of us.

Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics

Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
Author: Khosrow-Pour, D.B.A., Mehdi
Publisher: IGI Global
Total Pages: 1946
Release: 2018-10-19
Genre: Computers
ISBN: 1522575995

From cloud computing to data analytics, society stores vast supplies of information through wireless networks and mobile computing. As organizations are becoming increasingly more wireless, ensuring the security and seamless function of electronic gadgets while creating a strong network is imperative. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics highlights the challenges associated with creating a strong network architecture in a perpetually online society. Readers will learn various methods in building a seamless mobile computing option and the most effective means of analyzing big data. This book is an important resource for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, and IT specialists seeking modern information on emerging methods in data mining, information technology, and wireless networks.

Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Neha Sharma
Publisher: Springer Nature
Total Pages: 727
Release: 2019-10-24
Genre: Technology & Engineering
ISBN: 9813299495

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Security, Privacy, and Forensics Issues in Big Data

Security, Privacy, and Forensics Issues in Big Data
Author: Joshi, Ramesh C.
Publisher: IGI Global
Total Pages: 474
Release: 2019-08-30
Genre: Computers
ISBN: 1522597441

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.

Exploring the Boundaries of Big Data

Exploring the Boundaries of Big Data
Author: Bart van der Sloot
Publisher:
Total Pages: 0
Release: 2016
Genre: Big data
ISBN: 9789462983588

In the investigation Exploring the Boundaries of Big Data The Netherlands Scientific Council for Government Policy (WRR) offers building blocks for developing a regulatory approach to Big Data.

New Horizons for a Data-Driven Economy

New Horizons for a Data-Driven Economy
Author: José María Cavanillas
Publisher: Springer
Total Pages: 312
Release: 2016-04-04
Genre: Computers
ISBN: 3319215698

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Application of Big Data for National Security

Application of Big Data for National Security
Author: Babak Akhgar
Publisher: Butterworth-Heinemann
Total Pages: 317
Release: 2015-02-14
Genre: Computers
ISBN: 0128019735

Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security - Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention - Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime - Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context - Indicates future directions for Big Data as an enabler of advanced crime prevention and detection