Handbook Of Big Data Privacy

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Handbook of Big Data Privacy

Author : Kim-Kwang Raymond Choo
Publisher : Springer Nature
ISBN 13 : 3030385574
Total Pages : 397 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Handbook of Big Data Privacy by : Kim-Kwang Raymond Choo

Download or read book Handbook of Big Data Privacy written by Kim-Kwang Raymond Choo and published by Springer Nature. This book was released on 2020-03-18 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.

Privacy, Big Data, and the Public Good

Author : Julia Lane
Publisher : Cambridge University Press
ISBN 13 : 1316094456
Total Pages : 343 pages
Book Rating : 4.3/5 (16 download)

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Book Synopsis Privacy, Big Data, and the Public Good by : Julia Lane

Download or read book Privacy, Big Data, and the Public Good written by Julia Lane and published by Cambridge University Press. This book was released on 2014-06-09 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.

Handbook of Big Data and IoT Security

Author : Ali Dehghantanha
Publisher : Springer
ISBN 13 : 3030105431
Total Pages : 384 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Handbook of Big Data and IoT Security by : Ali Dehghantanha

Download or read book Handbook of Big Data and IoT Security written by Ali Dehghantanha and published by Springer. This book was released on 2019-03-22 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and an IoT forensic framework is also presented in this book, and it explains how the IoT forensic framework can be used to guide investigation of a popular cloud storage service. A distributed file system forensic approach is also presented, which is used to guide the investigation of Ceph. Minecraft, a Massively Multiplayer Online Game, and the Hadoop distributed file system environment are also forensically studied and their findings reported in this book. A forensic IoT source camera identification algorithm is introduced, which uses the camera's sensor pattern noise from the captured image. In addition to the IoT access control and forensic frameworks, this handbook covers a cyber defense triage process for nine advanced persistent threat (APT) groups targeting IoT infrastructure, namely: APT1, Molerats, Silent Chollima, Shell Crew, NetTraveler, ProjectSauron, CopyKittens, Volatile Cedar and Transparent Tribe. The characteristics of remote-controlled real-world Trojans using the Cyber Kill Chain are also examined. It introduces a method to leverage different crashes discovered from two fuzzing approaches, which can be used to enhance the effectiveness of fuzzers. Cloud computing is also often associated with IoT and big data (e.g., cloud-enabled IoT systems), and hence a survey of the cloud security literature and a survey of botnet detection approaches are presented in the book. Finally, game security solutions are studied and explained how one may circumvent such solutions. This handbook targets the security, privacy and forensics research community, and big data research community, including policy makers and government agencies, public and private organizations policy makers. Undergraduate and postgraduate students enrolled in cyber security and forensic programs will also find this handbook useful as a reference.

Privacy and Big Data

Author : Terence Craig
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449305008
Total Pages : 95 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Privacy and Big Data by : Terence Craig

Download or read book Privacy and Big Data written by Terence Craig and published by "O'Reilly Media, Inc.". This book was released on 2011-09-23 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The players, regulators, and stakeholders"--Cover.

Research Handbook on Big Data Law

Author : Roland Vogl
Publisher : Edward Elgar Publishing
ISBN 13 : 1788972821
Total Pages : 544 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Research Handbook on Big Data Law by : Roland Vogl

Download or read book Research Handbook on Big Data Law written by Roland Vogl and published by Edward Elgar Publishing. This book was released on 2021-05-28 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.

Privacy in the Age of Big Data

Author : Theresa Payton
Publisher : Rowman & Littlefield
ISBN 13 : 1442225467
Total Pages : 277 pages
Book Rating : 4.4/5 (422 download)

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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.

Big Data

Author : Fei Hu
Publisher : CRC Press
ISBN 13 : 1498734871
Total Pages : 463 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Big Data by : Fei Hu

Download or read book Big Data written by Fei Hu and published by CRC Press. This book was released on 2016-04-27 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi

Big Data Security

Author : Shibakali Gupta
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110605961
Total Pages : 223 pages
Book Rating : 4.1/5 (16 download)

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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.

Big Data

Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Big Data by : Viktor Mayer-Schönberger

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Handbook of Big Data Analytics

Author : Wolfgang Karl Härdle
Publisher : Springer
ISBN 13 : 3319182846
Total Pages : 538 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Handbook of Big Data Analytics by : Wolfgang Karl Härdle

Download or read book Handbook of Big Data Analytics written by Wolfgang Karl Härdle and published by Springer. This book was released on 2018-07-20 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.

Big Data and Privacy Rights

Author : M. M. Eboch
Publisher : ABDO
ISBN 13 : 1680774719
Total Pages : 115 pages
Book Rating : 4.6/5 (87 download)

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Book Synopsis Big Data and Privacy Rights by : M. M. Eboch

Download or read book Big Data and Privacy Rights written by M. M. Eboch and published by ABDO. This book was released on 2016-08-15 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: The flow of information through our modern digital world has led to many new issues and controversies. Big Data and Privacy Rightsexamines how companies, governments, and individuals collect and use massive amounts of personal information, highlighting the privacy concerns that result when these activities are done without public knowledge. Compelling text, well-chosen photographs, and extensive back matter give readers a clear look at these complex issues. Features include essential facts, a glossary, additional resources, source notes, and an index. Aligned to Common Core Standards and correlated to state standards. Essential Library is an imprint of Abdo Publishing, a division of ABDO.

Handbook of Big Data

Author : Peter Bühlmann
Publisher : CRC Press
ISBN 13 : 1482249081
Total Pages : 480 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Handbook of Big Data by : Peter Bühlmann

Download or read book Handbook of Big Data written by Peter Bühlmann and published by CRC Press. This book was released on 2016-02-22 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical

Handbook of Big Data Analytics

Author : Vadlamani Ravi
Publisher : IET
ISBN 13 : 1839530642
Total Pages : 390 pages
Book Rating : 4.8/5 (395 download)

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Book Synopsis Handbook of Big Data Analytics by : Vadlamani Ravi

Download or read book Handbook of Big Data Analytics written by Vadlamani Ravi and published by IET. This book was released on 2021-07-09 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.

Big Data in Context

Author : Thomas Hoeren
Publisher : Springer
ISBN 13 : 331962461X
Total Pages : 120 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Big Data in Context by : Thomas Hoeren

Download or read book Big Data in Context written by Thomas Hoeren and published by Springer. This book was released on 2017-10-17 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY 4.0 license. This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive overview of and introduction to the emerging challenges regarding big data.All contributions are based on papers submitted in connection with ABIDA (Assessing Big Data), an interdisciplinary research project exploring the societal aspects of big data and funded by the German Federal Ministry of Education and Research.This volume was produced as a part of the ABIDA project (Assessing Big Data, 01IS15016A-F). ABIDA is a four-year collaborative project funded by the Federal Ministry of Education and Research. However the views and opinions expressed in this book reflect only the authors’ point of view and not necessarily those of all members of the ABIDA project or the Federal Ministry of Education and Research.

The Cambridge Handbook of Consumer Privacy

Author : Evan Selinger
Publisher : Cambridge University Press
ISBN 13 : 1316859274
Total Pages : 616 pages
Book Rating : 4.3/5 (168 download)

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Book Synopsis The Cambridge Handbook of Consumer Privacy by : Evan Selinger

Download or read book The Cambridge Handbook of Consumer Privacy written by Evan Selinger and published by Cambridge University Press. This book was released on 2018-04-02 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Businesses are rushing to collect personal data to fuel surging demand. Data enthusiasts claim personal information that's obtained from the commercial internet, including mobile platforms, social networks, cloud computing, and connected devices, will unlock path-breaking innovation, including advanced data security. By contrast, regulators and activists contend that corporate data practices too often disempower consumers by creating privacy harms and related problems. As the Internet of Things matures and facial recognition, predictive analytics, big data, and wearable tracking grow in power, scale, and scope, a controversial ecosystem will exacerbate the acrimony over commercial data capture and analysis. The only productive way forward is to get a grip on the key problems right now and change the conversation. That's exactly what Jules Polonetsky, Omer Tene, and Evan Selinger do. They bring together diverse views from leading academics, business leaders, and policymakers to discuss the opportunities and challenges of the new data economy.

Handbook of Big Geospatial Data

Author : Martin Werner
Publisher : Springer Nature
ISBN 13 : 3030554627
Total Pages : 641 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Handbook of Big Geospatial Data by : Martin Werner

Download or read book Handbook of Big Geospatial Data written by Martin Werner and published by Springer Nature. This book was released on 2021-05-07 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.

Security, Privacy, and Forensics Issues in Big Data

Author : Joshi, Ramesh C.
Publisher : IGI Global
ISBN 13 : 1522597441
Total Pages : 456 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Security, Privacy, and Forensics Issues in Big Data by : Joshi, Ramesh C.

Download or read book Security, Privacy, and Forensics Issues in Big Data written by Joshi, Ramesh C. and published by IGI Global. This book was released on 2019-08-30 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.