Автор: Chuan Zhang, Tong Wu, Youqi Li, Liehuang Zhu Название: Privacy-Preserving in Mobile Crowdsensing ISBN: 9811983143 ISBN-13(EAN): 9789811983146 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mobile crowdsensing is a new sensing paradigm that utilizes the intelligence of a crowd of individuals to collect data for mobile purposes by using their portable devices, such as smartphones and wearable devices. Commonly, individuals are incentivized to collect data to fulfill a crowdsensing task released by a data requester. This “sensing as a service” elaborates our knowledge of the physical world by opening up a new door of data collection and analysis. However, with the expansion of mobile crowdsensing, privacy issues urgently need to be solved. In this book, we discuss the research background and current research process of privacy protection in mobile crowdsensing. In the first chapter, the background, system model, and threat model of mobile crowdsensing are introduced. The second chapter discusses the current techniques to protect user privacy in mobile crowdsensing. Chapter three introduces the privacy-preserving content-based task allocation scheme. Chapter four further introduces the privacy-preserving location-based task scheme. Chapter five presents the scheme of privacy-preserving truth discovery with truth transparency. Chapter six proposes the scheme of privacy-preserving truth discovery with truth hiding. Chapter seven summarizes this monograph and proposes future research directions. In summary, this book introduces the following techniques in mobile crowdsensing: 1) describe a randomizable matrix-based task-matching method to protect task privacy and enable secure content-based task allocation; 2) describe a multi-clouds randomizable matrix-based task-matching method to protect location privacy and enable secure arbitrary range queries; and 3) describe privacy-preserving truth discovery methods to support efficient and secure truth discovery. These techniques are vital to the rapid development of privacy-preserving in mobile crowdsensing.
Автор: Valerie Lyons, Todd Fitzgerald Название: The Privacy Leader Compass ISBN: 1032467304 ISBN-13(EAN): 9781032467306 Издательство: Taylor&Francis Рейтинг: Цена: 16078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nigel Sylvester: GO is the first self-titled book by professional BMX athlete, entrepreneur, YouTube sensation and culture icon - Nigel Sylvester. His GO brand embraces the relentless, unapologetic and graceful pursuit of accomplishing a dream. His globally acclaimed digital film series, GO, captures his style and thrilling adventures in cities around the globe from his POV.
Автор: Tianqing Zhu; Gang Li; Wanlei Zhou; Philip S. Yu Название: Differential Privacy and Applications ISBN: 3319620029 ISBN-13(EAN): 9783319620022 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It provides an approachable strategy for researchers and engineers to implement differential privacy in real world applications.Early chapters are focused on two major directions, differentially private data publishing and differentially private data analysis.
Автор: Ahmed Elngar, Ambika Pawar, Prathamesh Churi Название: Data Protection and Privacy in Healthcare ISBN: 0367501082 ISBN-13(EAN): 9780367501082 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare management has rapidly changed over the last few years from disease centered to patient centered. The analysis of healthcare data plays an important role in healthcare management, but the privacy of patient`s records must be of equal concern. This book covers the privacy issues and data protection laws in healthcare industries.
Описание: Neuroscience has begun to intrude deeply into our lives and will demolish our present understanding of privacy. David Grant proposes a new sense of privacy and examines the changes needed across law, the State, and Market to support it. His analysis will interest privacy law scholars and students alike.
Автор: Farokhi Farhad Название: Privacy in Dynamical Systems ISBN: 9811504954 ISBN-13(EAN): 9789811504952 Издательство: Springer Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the first part, the book explores statistical methods for privacy preservation from the areas of differential privacy and information-theoretic privacy (e.g., using privacy metrics motivated by mutual information, relative entropy, and Fisher information) with provable guarantees.
Автор: Choo Kim-Kwang Raymond, Dehghantanha Ali Название: Handbook of Big Data Privacy ISBN: 3030385566 ISBN-13(EAN): 9783030385569 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: This book, written by leaders in the protection field of critical infrastructures, provides an extended overview of the technological and operative advantages together with the security problems and challenges of the new paradigm of the Internet of Things in today`s industry, also known as the Industry Internet of Things (IIoT).
Privacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself—most people understand that this is crucial to social life —but the inappropriate, improper sharing of information.
Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts—whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life.
Описание: The first part introduces the reader to the topic of linking sensitive data, the second part covers methods and techniques to link such data, the third part discusses aspects of practical importance, and the fourth part provides an outlook of future challenges and open research problems relevant to linking sensitive databases.
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