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The Realities of Securing Big Data

Author: Davi Ottenheimer

Publisher: Wiley

Published: 2019-07-01

Total Pages: 0

ISBN-13: 9781118559215

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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.

Book Synopsis The Realities of Securing Big Data by : Davi Ottenheimer

Download or read book The Realities of Securing Big Data written by Davi Ottenheimer and published by Wiley. This book was released on 2019-07-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Security

Author: Shibakali Gupta

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2019-10-08

Total Pages: 223

ISBN-13: 3110605961

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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.

Book Synopsis Big Data Security by : Shibakali Gupta

Download or read book Big Data Security written by Shibakali Gupta and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-10-08 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Privacy in the Age of Big Data

Author: Theresa Payton

Publisher: Rowman & Littlefield

Published: 2014-01-16

Total Pages: 277

ISBN-13: 1442225467

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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.

Book Synopsis Privacy in the Age of Big Data by : Theresa Payton

Download or read book Privacy in the Age of Big Data written by Theresa Payton and published by Rowman & Littlefield. This book was released on 2014-01-16 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Privacy and Security Issues in Big Data

Author: Pradip Kumar Das

Publisher: Springer Nature

Published: 2021-04-23

Total Pages: 219

ISBN-13: 981161007X

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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.

Book Synopsis Privacy and Security Issues in Big Data by : Pradip Kumar Das

Download or read book Privacy and Security Issues in Big Data written by Pradip Kumar Das and published by Springer Nature. This book was released on 2021-04-23 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Effective Big Data Management and Opportunities for Implementation

Author: Singh, Manoj Kumar

Publisher: IGI Global

Published: 2016-06-20

Total Pages: 324

ISBN-13: 1522501835

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“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.

Book Synopsis Effective Big Data Management and Opportunities for Implementation by : Singh, Manoj Kumar

Download or read book Effective Big Data Management and Opportunities for Implementation written by Singh, Manoj Kumar and published by IGI Global. This book was released on 2016-06-20 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: “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-Preserving Data Mining

Author: Charu C. Aggarwal

Publisher: Springer Science & Business Media

Published: 2008-06-10

Total Pages: 524

ISBN-13: 0387709924

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Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.

Book Synopsis Privacy-Preserving Data Mining by : Charu C. Aggarwal

Download or read book Privacy-Preserving Data Mining written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2008-06-10 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.

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

Author: Khosrow-Pour, D.B.A., Mehdi

Publisher: IGI Global

Published: 2018-10-19

Total Pages: 1857

ISBN-13: 1522575995

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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.

Book Synopsis Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics by : Khosrow-Pour, D.B.A., Mehdi

Download or read book Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics written by Khosrow-Pour, D.B.A., Mehdi and published by IGI Global. This book was released on 2018-10-19 with total page 1857 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Combating Security Challenges in the Age of Big Data

Author: Zubair Md. Fadlullah

Publisher: Springer Nature

Published: 2020-05-26

Total Pages: 271

ISBN-13: 3030356426

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This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques. The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. Technology giants like Google, Microsoft, Amazon, Facebook, Apple, and companies like Uber, Airbnb, NVIDIA, Expedia, and so forth are continuing to explore new ways to collect and analyze big data to provide their customers with interactive services and new experiences. With any discussion of big data, security is not, however, far behind. Large scale data breaches and privacy leaks at governmental and financial institutions, social platforms, power grids, and so forth, are on the rise that cost billions of dollars. The book explains how the security needs and implementations are inherently different at different stages of the big data centric system, namely at the point of big data sensing and collection, delivery over existing networks, and analytics at the data centers. Thus, the book sheds light on how conventional security provisioning techniques like authentication and encryption need to scale well with all the stages of the big data centric system to effectively combat security threats and vulnerabilities. The book also uncovers the state-of-the-art technologies like deep learning and blockchain which can dramatically change the security landscape in the big data era.

Book Synopsis Combating Security Challenges in the Age of Big Data by : Zubair Md. Fadlullah

Download or read book Combating Security Challenges in the Age of Big Data written by Zubair Md. Fadlullah and published by Springer Nature. This book was released on 2020-05-26 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques. The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. Technology giants like Google, Microsoft, Amazon, Facebook, Apple, and companies like Uber, Airbnb, NVIDIA, Expedia, and so forth are continuing to explore new ways to collect and analyze big data to provide their customers with interactive services and new experiences. With any discussion of big data, security is not, however, far behind. Large scale data breaches and privacy leaks at governmental and financial institutions, social platforms, power grids, and so forth, are on the rise that cost billions of dollars. The book explains how the security needs and implementations are inherently different at different stages of the big data centric system, namely at the point of big data sensing and collection, delivery over existing networks, and analytics at the data centers. Thus, the book sheds light on how conventional security provisioning techniques like authentication and encryption need to scale well with all the stages of the big data centric system to effectively combat security threats and vulnerabilities. The book also uncovers the state-of-the-art technologies like deep learning and blockchain which can dramatically change the security landscape in the big data era.

Application of Big Data for National Security

Author: Babak Akhgar

Publisher: Butterworth-Heinemann

Published: 2015-02-14

Total Pages: 317

ISBN-13: 0128019735

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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

Book Synopsis Application of Big Data for National Security by : Babak Akhgar

Download or read book Application of Big Data for National Security written by Babak Akhgar and published by Butterworth-Heinemann. This book was released on 2015-02-14 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

New Horizons for a Data-Driven Economy

Author: José María Cavanillas

Publisher: Springer

Published: 2016-04-04

Total Pages: 303

ISBN-13: 3319215698

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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.

Book Synopsis New Horizons for a Data-Driven Economy by : José María Cavanillas

Download or read book New Horizons for a Data-Driven Economy written by José María Cavanillas and published by Springer. This book was released on 2016-04-04 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.