Personalized Privacy Protection In Big Data

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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.

Personalized Privacy Protection in Big Data

Author : Youyang Qu
Publisher : Springer Nature
ISBN 13 : 9811637504
Total Pages : 148 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Personalized Privacy Protection in Big Data by : Youyang Qu

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.

Personalized Privacy Protection in Big Data

Author : Youyang Qu
Publisher :
ISBN 13 : 9788981163754
Total Pages : 0 pages
Book Rating : 4.1/5 (637 download)

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Book Synopsis Personalized Privacy Protection in Big Data by : Youyang Qu

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.

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.

Privacy and Security Policies in Big Data

Author : Tamane, Sharvari
Publisher : IGI Global
ISBN 13 : 1522524878
Total Pages : 325 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Privacy and Security Policies in Big Data by : Tamane, Sharvari

Download or read book Privacy and Security Policies in Big Data written by Tamane, Sharvari and published by IGI Global. This book was released on 2017-03-03 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, technological advances have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Privacy and Security Policies in Big Data is a pivotal reference source for the latest research on innovative concepts on the management of security and privacy analytics within big data. Featuring extensive coverage on relevant areas such as kinetic knowledge, cognitive analytics, and parallel computing, this publication is an ideal resource for professionals, researchers, academicians, advanced-level students, and technology developers in the field of big data.

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.

Privacy and Security Issues in Big Data

Author : Pradip Kumar Das
Publisher : Springer Nature
ISBN 13 : 981161007X
Total Pages : 219 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Privacy and Security Issues in Big Data by : Pradip Kumar Das

Download or read book Privacy and Security Issues in Big Data written by Pradip Kumar Das and published by Springer Nature. This book was released on 2021-04-23 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of “Business Intelligence”. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.

Our Data, Ourselves

Author : Jacqueline D. Lipton
Publisher : Univ of California Press
ISBN 13 : 0520976843
Total Pages : 232 pages
Book Rating : 4.5/5 (29 download)

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Book Synopsis Our Data, Ourselves by : Jacqueline D. Lipton

Download or read book Our Data, Ourselves written by Jacqueline D. Lipton and published by Univ of California Press. This book was released on 2022-09-27 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical, user-friendly handbook for understanding and protecting our personal data and digital privacy. Our Data, Ourselves addresses a common and crucial question: What can we as private individuals do to protect our personal information in a digital world? In this practical handbook, legal expert Jacqueline D. Lipton guides readers through important issues involving technology, data collection, and digital privacy as they apply to our daily lives. Our Data, Ourselves covers a broad range of everyday privacy concerns with easily digestible, accessible overviews and real-world examples. Lipton explores the ways we can protect our personal data and monitor its use by corporations, the government, and others. She also explains our rights regarding sensitive personal data like health insurance records and credit scores, as well as what information retailers can legally gather, and how. Who actually owns our personal information? Can an employer legally access personal emails? What privacy rights do we have on social media? Answering these questions and more, Our Data, Ourselves provides a strategic approach to assuming control over, and ultimately protecting, our personal information.

Innovations in Privacy Protection: Advanced Technologies for Safeguarding Personal Data

Author : Shashank Reddy Konda
Publisher : Shashank Reddy Konda
ISBN 13 :
Total Pages : 41 pages
Book Rating : 4./5 ( download)

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Book Synopsis Innovations in Privacy Protection: Advanced Technologies for Safeguarding Personal Data by : Shashank Reddy Konda

Download or read book Innovations in Privacy Protection: Advanced Technologies for Safeguarding Personal Data written by Shashank Reddy Konda and published by Shashank Reddy Konda. This book was released on 2022-08-27 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's digital age, the protection of personal data is of paramount importance. With the increasing prevalence of data breaches and privacy violations, individuals and organizations are seeking effective solutions to safeguard sensitive information. This document explores the cutting-edge innovations in privacy protection, focusing on advanced technologies known as privacy-enhancing technologies (PETs). PETs encompass a diverse array of tools and methodologies designed to enhance privacy by minimizing data exposure, encrypting sensitive information, and enabling secure data sharing. Through a comprehensive examination of PETs, this document aims to provide insights into how these technologies can mitigate privacy risks and empower individuals to retain control over their personal data. From differential privacy and homomorphic encryption to federated learning and secure multi-party computation, the document delves into the principles and applications of various PETs, highlighting their potential to reshape the landscape of privacy protection. Furthermore, the document discusses the challenges associated with implementing PETs and provides recommendations for overcoming these obstacles. By presenting real-world case studies and examples of successful PET deployments across different sectors, this document illustrates the tangible benefits of integrating privacy-enhancing technologies into existing systems and processes. Ultimately, the document emphasizes the importance of ongoing innovation and collaboration in the development and adoption of PETs to address evolving privacy threats and uphold individual privacy rights in the digital era

Privacy Protection in Big Data Analytics

Author : Ms. GEETHA P.
Publisher :
ISBN 13 : 9789879492437
Total Pages : 0 pages
Book Rating : 4.4/5 (924 download)

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Book Synopsis Privacy Protection in Big Data Analytics by : Ms. GEETHA P.

Download or read book Privacy Protection in Big Data Analytics written by Ms. GEETHA P. and published by . This book was released on 2023-03-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Privacy protection in big data analytics refers to the process of safeguarding the privacy and confidentiality of sensitive information in large datasets, while still allowing for the extraction of valuable insights and patterns from the data. Big data analytics involves the use of advanced algorithms and technologies to analyze vast amounts of data, often containing personal or sensitive information, to gain insights and make informed decisions. However, as more and more data is collected and analyzed, there is an increasing risk of privacy breaches and data misuse. To address this challenge, privacy protection techniques such as data anonymization, encryption, and access controls are used to ensure that sensitive information is protected from unauthorized access or disclosure. Data anonymization involves the removal or modification of personally identifiable information (PII) from the dataset, while still retaining its usefulness for analysis. Encryption involves encoding the data in a way that can only be deciphered with a key, ensuring that only authorized users can access it. Access controls restrict access to the data to only those who need it for legitimate purposes. Privacy protection in big data analytics is crucial for maintaining trust between data owners and users, protecting individual privacy rights, and complying with regulatory requirements

The Privacy Engineer's Manifesto

Author : Michelle Finneran Dennedy
Publisher : Apress
ISBN 13 : 1430263555
Total Pages : 386 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis The Privacy Engineer's Manifesto by : Michelle Finneran Dennedy

Download or read book The Privacy Engineer's Manifesto written by Michelle Finneran Dennedy and published by Apress. This book was released on 2014-01-23 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Place of publication transcribed from publisher's website.

Privacy and Data Protection in Software Services

Author : Roberto Senigaglia
Publisher : Springer Nature
ISBN 13 : 9811630496
Total Pages : 220 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Privacy and Data Protection in Software Services by : Roberto Senigaglia

Download or read book Privacy and Data Protection in Software Services written by Roberto Senigaglia and published by Springer Nature. This book was released on 2021-08-05 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of the book is to create a bridge between two ‘lands’ that are usually kept separate: technical tools and legal rules should be bound together for moulding a special ‘toolbox’ to solve present and future issues. The volume is intended to contribute to this ‘toolbox’ in the area of software services, while addressing how to make legal studies work closely with engineers’ and computer scientists’ fields of expertise, who are increasingly involved in tangled choices on daily programming and software development. In this respect, law has not lost its importance and its own categories in the digital world, but as well as any social science needs to experience a new realistic approach amid technological development and individuals’ fundamental rights and freedoms.

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.

Personal Data Privacy and Protection in a Surveillance Era: Technologies and Practices

Author : Akrivopoulou, Christina
Publisher : IGI Global
ISBN 13 : 1609600851
Total Pages : 402 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Personal Data Privacy and Protection in a Surveillance Era: Technologies and Practices by : Akrivopoulou, Christina

Download or read book Personal Data Privacy and Protection in a Surveillance Era: Technologies and Practices written by Akrivopoulou, Christina and published by IGI Global. This book was released on 2010-11-30 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book spans a number of interdependent and emerging topics in the area of legal protection of privacy and technology and explores the new threats that cyberspace poses to the privacy of individuals, as well as the threats that surveillance technologies generate in public spaces and in digital communication"--Provided by publisher.

Privacy and Identity Management. Data for Better Living: AI and Privacy

Author : Michael Friedewald
Publisher : Springer Nature
ISBN 13 : 3030425045
Total Pages : 480 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Privacy and Identity Management. Data for Better Living: AI and Privacy by : Michael Friedewald

Download or read book Privacy and Identity Management. Data for Better Living: AI and Privacy written by Michael Friedewald and published by Springer Nature. This book was released on 2020-03-10 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected papers presented at the 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Windisch, Switzerland, in August 2019. The 22 full papers included in this volume were carefully reviewed and selected from 31 submissions. Also included are reviewed papers summarizing the results of workshops and tutorials that were held at the Summer School as well as papers contributed by several of the invited speakers. The papers combine interdisciplinary approaches to bring together a host of perspectives, which are reflected in the topical sections: language and privacy; law, ethics and AI; biometrics and privacy; tools supporting data protection compliance; privacy classification and security assessment; privacy enhancing technologies in specific contexts. The chapters "What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking" and "Privacy Implications of Voice and Speech Analysis - Information Disclosure by Inference" are open access under a CC BY 4.0 license at link.springer.com.

Group Privacy

Author : Linnet Taylor
Publisher : Springer
ISBN 13 : 3319466089
Total Pages : 249 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Group Privacy by : Linnet Taylor

Download or read book Group Privacy written by Linnet Taylor and published by Springer. This book was released on 2016-12-28 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the book is to present the latest research on the new challenges of data technologies. It will offer an overview of the social, ethical and legal problems posed by group profiling, big data and predictive analysis and of the different approaches and methods that can be used to address them. In doing so, it will help the reader to gain a better grasp of the ethical and legal conundrums posed by group profiling. The volume first maps the current and emerging uses of new data technologies and clarifies the promises and dangers of group profiling in real life situations. It then balances this with an analysis of how far the current legal paradigm grants group rights to privacy and data protection, and discusses possible routes to addressing these problems. Finally, an afterword gathers the conclusions reached by the different authors and discuss future perspectives on regulating new data technologies.

Privacy Preservation in IoT: Machine Learning Approaches

Author : Youyang Qu
Publisher : Springer Nature
ISBN 13 : 9811917973
Total Pages : 127 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Privacy Preservation in IoT: Machine Learning Approaches by : Youyang Qu

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.