Download or read book Personalized Privacy Protection in Big Data written by Youyang Qu and published by Springer Nature. This book was released on 2021-07-23 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Personalized Privacy Protection in Big Data written by Youyang Qu and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Download or read book Privacy and Big Data written by Terence Craig and published by "O'Reilly Media, Inc.". This book was released on 2011-09-16 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
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: Data access is essential for serving the public good. This book provides new frameworks to address the resultant privacy issues.
Download or read book Privacy Preservation in IoT Machine Learning Approaches written by Youyang Qu and published by Springer Nature. This book was released on 2022-04-27 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Big Data and Security written by Yuan Tian and published by Springer Nature. This book was released on 2023-05-30 with total page 759 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book HCI Challenges and Privacy Preservation in Big Data Security written by Lopez, Daphne and published by IGI Global. This book was released on 2017-08-10 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Software Engineering and Information Technology written by Xiaolong Li and published by World Scientific. This book was released on 2015-12-17 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Economic Management And Big Data Application Proceedings Of The 3rd International Conference written by Sikandar Ali Qalati and published by World Scientific. This book was released on 2024-01-03 with total page 1185 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Personal Data in Competition Consumer Protection and Intellectual Property Law written by Mor Bakhoum and published by Springer. This book was released on 2018-11-02 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book analyses the legal approach to personal data taken by different fields of law. An increasing number of business models in the digital economy rely on personal data as a key input. In exchange for sharing their data, online users benefit from personalized and innovative services. But companies’ collection and use of personal data raise questions about privacy and fundamental rights. Moreover, given the substantial commercial and strategic value of personal data, their accumulation, control and use may raise competition concerns and negatively affect consumers. To establish a legal framework that ensures an adequate level of protection of personal data while at the same time providing an open and level playing field for businesses to develop innovative data-based services is a challenging task.With this objective in mind and against the background of the uniform rules set by the EU General Data Protection Regulation, the contributions to this book examine the significance and legal treatment of personal data in competition law, consumer protection law, general civil law and intellectual property law. Instead of providing an isolated analysis of the different areas of law, the book focuses on both synergies and tensions between the different legal fields, exploring potential ways to develop an integrated legal approach to personal data.
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.
Download or read book Proceedings of the 2nd International Conference on Cognitive Based Information Processing and Applications CIPA 2022 written by Bernard J. Jansen and published by Springer Nature. This book was released on 2023-04-08 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains papers presented at the 2nd International Conference on Cognitive based Information Processing and Applications (CIPA) in Changzhou, China, from September 22 to 23, 2022. The book is divided into a 2-volume series and the papers represent the various technological advancements in network information processing, graphics and image processing, medical care, machine learning, smart cities. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and information processing.
Download or read book Digital Finance written by Zhiyi Liu and published by Springer Nature. This book was released on with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Recent Trends in Educational Technology and Administration written by Fred Paas and published by Springer Nature. This book was released on with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Big Data Political Campaigning and the Law written by Normann Witzleb and published by Routledge. This book was released on 2019-12-06 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this multidisciplinary book, experts from around the globe examine how data-driven political campaigning works, what challenges it poses for personal privacy and democracy, and how emerging practices should be regulated. The rise of big data analytics in the political process has triggered official investigations in many countries around the world, and become the subject of broad and intense debate. Political parties increasingly rely on data analytics to profile the electorate and to target specific voter groups with individualised messages based on their demographic attributes. Political micro-targeting has become a major factor in modern campaigning, because of its potential to influence opinions, to mobilise supporters and to get out votes. The book explores the legal, philosophical and political dimensions of big data analytics in the electoral process. It demonstrates that the unregulated use of big personal data for political purposes not only infringes voters’ privacy rights, but also has the potential to jeopardise the future of the democratic process, and proposes reforms to address the key regulatory and ethical questions arising from the mining, use and storage of massive amounts of voter data. Providing an interdisciplinary assessment of the use and regulation of big data in the political process, this book will appeal to scholars from law, political science, political philosophy and media studies, policy makers and anyone who cares about democracy in the age of data-driven political campaigning.
Download or read book Services SERVICES 2020 written by Joao Eduardo Ferreira and published by Springer Nature. This book was released on 2020-09-16 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th World Congress on Services, SERVICES 2020, held as part of the Services Conference Federation, SCF 2020, in Honolulu, HI, USA, in September 2020. The conference was held virtually due to the COVID-19 pandemic.The 5 full papers and 4 short papers presented were carefully reviewed and selected from 10 submissions. The papers cover topics in the field of software engineering foundations and applications with a focus on novel approaches for engineering requirements, design and architectures, testing, maintenance and evolution, model-driven development, software processes, metrics, quality assurance and new software economics models, search-based software engineering, benefiting day-to-day services sectors and derived through experiences, with appreciation to scale, pragmatism, transparency, compliance and/or dependability.
