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Personalized Privacy Protection in Big Data

Personalized Privacy Protection in Big Data
Author: Youyang Qu
Publisher: Springer Nature
Total Pages: 148
Release: 2021-07-23
Genre: Computers
ISBN: 9811637504
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This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic.In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets. The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.

Personalized Privacy Protection in Big Data

Personalized Privacy Protection in Big Data
Author: Youyang Qu
Publisher:
Total Pages: 0
Release: 2021
Genre: Big data
ISBN: 9788981163754
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This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic. In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets. The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the book is of interest to scientists, policy-makers, researchers, and postgraduates alike.

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
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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.

Privacy and Big Data

Privacy and Big Data
Author: Terence Craig
Publisher: "O'Reilly Media, Inc."
Total Pages: 108
Release: 2011-09-16
Genre: Computers
ISBN: 1449316700
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Much of what constitutes Big Data is information about us. Through our online activities, we leave an easy-to-follow trail of digital footprints that reveal who we are, what we buy, where we go, and much more. This eye-opening book explores the raging privacy debate over the use of personal data, with one undeniable conclusion: once data's been collected, we have absolutely no control over who uses it or how it is used. Personal data is the hottest commodity on the market today—truly more valuable than gold. We are the asset that every company, industry, non-profit, and government wants. Privacy and Big Data introduces you to the players in the personal data game, and explains the stark differences in how the U.S., Europe, and the rest of the world approach the privacy issue. You'll learn about: Collectors: social networking titans that collect, share, and sell user data Users: marketing organizations, government agencies, and many others Data markets: companies that aggregate and sell datasets to anyone Regulators: governments with one policy for commercial data use, and another for providing security

Privacy, Big Data, and the Public Good

Privacy, Big Data, and the Public Good
Author: Julia Lane
Publisher: Cambridge University Press
Total Pages: 343
Release: 2014-06-09
Genre: Computers
ISBN: 1107067359
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Data access is essential for serving the public good. This book provides new frameworks to address the resultant privacy issues.

Privacy Preservation in IoT: Machine Learning Approaches

Privacy Preservation in IoT: Machine Learning Approaches
Author: Youyang Qu
Publisher: Springer Nature
Total Pages: 127
Release: 2022-04-27
Genre: Computers
ISBN: 9811917973
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This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner. The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions. Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.

Big Data and Security

Big Data and Security
Author: Yuan Tian
Publisher: Springer Nature
Total Pages: 759
Release: 2023-05-30
Genre: Computers
ISBN: 9819933005
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This book constitutes the refereed proceedings of the 4th International Conference on Big Data and Security, ICBDS 2022, held in Xiamen, China, during December 8–12, 2022. The 51 full papers and 3 short papers included in this book were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; big data and new method; intelligence and machine learning security; data technology and network security; sybersecurity and privacy; IoT security.

HCI Challenges and Privacy Preservation in Big Data Security

HCI Challenges and Privacy Preservation in Big Data Security
Author: Lopez, Daphne
Publisher: IGI Global
Total Pages: 275
Release: 2017-08-10
Genre: Computers
ISBN: 1522528644
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Privacy protection within large databases can be a challenge. By examining the current problems and challenges this domain is facing, more efficient strategies can be established to safeguard personal information against invasive pressures. HCI Challenges and Privacy Preservation in Big Data Security is an informative scholarly publication that discusses how human-computer interaction impacts privacy and security in almost all sectors of modern life. Featuring relevant topics such as large scale security data, threat detection, big data encryption, and identity management, this reference source is ideal for academicians, researchers, advanced-level students, and engineers that are interested in staying current on the advancements and drawbacks of human-computer interaction within the world of big data.

Software Engineering and Information Technology

Software Engineering and Information Technology
Author: Xiaolong Li
Publisher: World Scientific
Total Pages: 368
Release: 2015-12-17
Genre: Computers
ISBN: 981474011X
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This book consists of sixty-seven selected papers presented at the 2015 International Conference on Software Engineering and Information Technology (SEIT2015), which was held in Guilin, Guangxi, China during June 26–28, 2015. The SEIT2015 has been an important event and has attracted many scientists, engineers and researchers from academia, government laboratories and industry internationally. The papers in this book were selected after rigorous review. SEIT2015 focuses on six main areas, namely, Information Technology, Computer Intelligence and Computer Applications, Algorithm and Simulation, Signal and Image Processing, Electrical Engineering and Software Engineering. SEIT2015 aims to provide a platform for the global researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. This conference has been a valuable opportunity for researchers to share their knowledge and results in theory, methodology and applications of Software Engineering and Information Technology. Contents: Information TechnologyComputing Intelligence and Computer ApplicationsAlgorithm and SimulationSignal and Image ProcessingElectrical EngineeringSoftware Engineering Readership: Researchers and graduate students interested in software engineering and information technology. Key Features:The proceedings collected together R&D results undertaken by researchers in six areas, namely, Information Technology, Computer Intelligence and Computer Applications, Algorithm and Simulation, Signal and Image Processing, Electrical Engineering and Software EngineeringKeywords:Information Technology;Computer Intelligence and Computer Applications;Algorithm and Simulation;Signal and Image Processing;Electrical Engineering and Software Engineering

Economic Management And Big Data Application - Proceedings Of The 3rd International Conference

Economic Management And Big Data Application - Proceedings Of The 3rd International Conference
Author: Sikandar Ali Qalati
Publisher: World Scientific
Total Pages: 1185
Release: 2024-01-03
Genre: Business & Economics
ISBN: 9811270287
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This book mainly focuses on the research fields of Economic Management and Big Data Applications, specifically on the combination of the two. It covers all the excellent papers presented in the 3rd International Conference on Economic Management and Big Data Application (ICEMBDA 2022), and aims to provide a solid reference for experts and scholars engaged in the fields of economics, management science, data modeling and cloud computing, to share typical cases, scientific methods, cutting-edge technologies and novel insights. In this age of data, the book initiated by the researchers and analysts from various related disciplines will provide more knowledge, technical support and directional guidance to promote the development and upgrading of research in management science and economic research.