Big Data And Differential Privacy

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Big Data And Differential Privacy

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Author : Nii O. Attoh-Okine
language : en
Publisher: John Wiley & Sons
Release Date : 2017-05-30

Big Data And Differential Privacy written by Nii O. Attoh-Okine and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-30 with Mathematics categories.

A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering addresses common issues with the implementation of big data applications while exploring the limitations, advantages, and disadvantages of more conventional methods. In addition, the book provides a unifying approach to analyzing large volumes of data in railway track engineering using an array of proven methods and software technologies. Dr. Attoh-Okine considers some of today’s most notable applications and implementations and highlights when a particular method or algorithm is most appropriate. Throughout, the book presents numerous real-world examples to illustrate the latest railway engineering big data applications of predictive analytics, such as the Union Pacific Railroad’s use of big data to reduce train derailments, increase the velocity of shipments, and reduce emissions. In addition to providing an overview of the latest software tools used to analyze the large amount of data obtained by railways, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering: • Features a unified framework for handling large volumes of data in railway track engineering using predictive analytics, machine learning, and data mining • Explores issues of big data and differential privacy and discusses the various advantages and disadvantages of more conventional data analysis techniques • Implements big data applications while addressing common issues in railway track maintenance • Explores the advantages and pitfalls of data analysis software such as R and Spark, as well as the ApacheTM Hadoop® data collection database and its popular implementation MapReduce Big Data and Differential Privacy is a valuable resource for researchers and professionals in transportation science, railway track engineering, design engineering, operations research, and railway planning and management. The book is also appropriate for graduate courses on data analysis and data mining, transportation science, operations research, and infrastructure management. NII ATTOH-OKINE, PhD, PE is Professor in the Department of Civil and Environmental Engineering at the University of Delaware. The author of over 70 journal articles, his main areas of research include big data and data science; computational intelligence; graphical models and belief functions; civil infrastructure systems; image and signal processing; resilience engineering; and railway track analysis. Dr. Attoh-Okine has edited five books in the areas of computational intelligence, infrastructure systems and has served as an Associate Editor of various ASCE and IEEE journals.

Privacy And Security Policies In Big Data

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Author : Sharvari Tamane
language : en
Publisher: Information Science Reference
Release Date : 2017

Privacy And Security Policies In Big Data written by Sharvari Tamane and has been published by Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Big data categories.

"This book covers the fundamental concepts of big data management and analytics along with recent research development in big data. It also includes various real time/offline applications and case studies in the field of engineering, computer science, information security, cloud computing with modern tools and technologies used"--

Privacy Big Data And The Public Good

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Author : Julia Lane
language : en
Publisher: Cambridge University Press
Release Date : 2014-06-09

Privacy Big Data And The Public Good written by Julia Lane and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-09 with Computers categories.

Data access is essential for serving the public good. This book provides new frameworks to address the resultant privacy issues.

The Algorithmic Foundations Of Differential Privacy

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Author : Cynthia Dwork
language : en
Publisher:
Release Date : 2014

The Algorithmic Foundations Of Differential Privacy written by Cynthia Dwork and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computers categories.

The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power -- certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.

Web Services Concepts Methodologies Tools And Applications

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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-12-07

Web Services Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Computers categories.

Web service technologies are redefining the way that large and small companies are doing business and exchanging information. Due to the critical need for furthering automation, engagement, and efficiency, systems and workflows are becoming increasingly more web-based. Web Services: Concepts, Methodologies, Tools, and Applications is an innovative reference source that examines relevant theoretical frameworks, current practice guidelines, industry standards and standardization, and the latest empirical research findings in web services. Highlighting a range of topics such as cloud computing, quality of service, and semantic web, this multi-volume book is designed for computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students interested in web services architecture, frameworks, and security.

Differential Privacy For Databases

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Author : Joseph P Near
language : en
Publisher:
Release Date : 2021-07-22

Differential Privacy For Databases written by Joseph P Near and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-22 with categories.

This book provides a database researcher or designer a complete, yet concise, overview of differential privacy and its deployment in database systems.

Data Privacy And Big Data

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Author : Aadinath Pothuvaal
language : en
Publisher: Educohack Press
Release Date : 2025-01-03

Data Privacy And Big Data written by Aadinath Pothuvaal and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.

The illustrations in this book are created by “Team Educohack”. Data Privacy and Big Data: A Foundational Guide is your essential resource for understanding the importance of data privacy and its critical role in data security. As firms expand and data volumes grow, safeguarding data becomes increasingly vital. This book offers comprehensive knowledge on the subject, ensuring data is handled correctly and protected from misuse. We begin with an introduction to data privacy, followed by chapters on machine learning, statistical learning, and the implications of data protection. The book also covers compliance tools, classification approaches for Big Data security, and the evolving landscape of user privacy and innovation. A crucial chapter on big data privacy explores privacy models, disclosure risk measures, and data masking methods. We also delve into performance measurement of big data analytics and selecting appropriate data masking techniques. The book concludes with a compelling case study on data forensics, providing practical insights. Data Privacy and Big Data: A Foundational Guide is an indispensable guide for anyone looking to navigate the complexities of data privacy in today’s digital world.

Big Data

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Author : Rajkumar Buyya
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-06-07

Big Data written by Rajkumar Buyya and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-07 with Computers categories.

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. - Covers computational platforms supporting Big Data applications - Addresses key principles underlying Big Data computing - Examines key developments supporting next generation Big Data platforms - Explores the challenges in Big Data computing and ways to overcome them - Contains expert contributors from both academia and industry

Protecting Location Privacy In The Era Of Big Data

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Author : Yan Yan
language : en
Publisher: CRC Press
Release Date : 2024-12-10

Protecting Location Privacy In The Era Of Big Data written by Yan Yan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Computers categories.

This book examines the uses and potential risks of location-based services (LBS) in the context of big data, with a focus on location privacy protection methods. The growth of the mobile Internet and the popularity of smart devices have spurred the development of LBS and related mobile applications. However, the misuse of sensitive location data could compromise the physical and communication security of associated devices and nodes, potentially leading to privacy breaches. This book explores the potential risks to the location privacy of mobile users in the context of big data applications. It discusses the latest methods and implications of location privacy from different perspectives. The author offers case studies of three applications: statistical disclosure and privacy protection of location-based big data using a centralized differential privacy model; a user location perturbation mechanism based on a localized differential privacy model; and terminal location perturbation using a geo-indistinguishability model. Linking recent developments in three-dimensional positioning and artificial intelligence, the book also predicts future trends and provides insights into research issues in location privacy. This title will be a valuable resource for researchers, students, and professionals interested in location-based services, privacy computing and protection, wireless network security, and big data security.

Big Data Security

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Author : Shibakali Gupta
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-10-08

Big Data Security written by Shibakali Gupta and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-08 with Computers categories.

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.