Data Privacy and Crowdsourcing

Data Privacy and Crowdsourcing PDF Author: Lars Hornuf
Publisher: Springer Nature
ISBN: 3031320646
Category : Business & Economics
Languages : en
Pages : 163

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Book Description
This open access book describes the most important legal sources and principles of data privacy and data protection in China, Germany and the United States. The authors collected privacy statements from more than 400 crowdsourcing platforms, which allowed them to empirically evaluate their data privacy and data protection practices. The book compares the practices in the three countries and develops empirically-grounded policy recommendations. A profound analysis on workers ́ privacy in new forms of work in China, Germany, and the United States. Prof. Dr. Wolfgang Däubler, University of Bremen This is a comprehensive and timely book for legal and business scholars as well as practitioners, especially with the increasingly important role of raw data in machine learning and artificial intelligence. Professor Mingfeng Lin, Georgia Institute of Technology

Data Privacy and Crowdsourcing

Data Privacy and Crowdsourcing PDF Author: Lars Hornuf
Publisher: Springer Nature
ISBN: 3031320646
Category : Business & Economics
Languages : en
Pages : 163

Get Book Here

Book Description
This open access book describes the most important legal sources and principles of data privacy and data protection in China, Germany and the United States. The authors collected privacy statements from more than 400 crowdsourcing platforms, which allowed them to empirically evaluate their data privacy and data protection practices. The book compares the practices in the three countries and develops empirically-grounded policy recommendations. A profound analysis on workers ́ privacy in new forms of work in China, Germany, and the United States. Prof. Dr. Wolfgang Däubler, University of Bremen This is a comprehensive and timely book for legal and business scholars as well as practitioners, especially with the increasingly important role of raw data in machine learning and artificial intelligence. Professor Mingfeng Lin, Georgia Institute of Technology

Crowdsourced Data Management

Crowdsourced Data Management PDF Author: Guoliang Li
Publisher: Springer
ISBN: 9811078475
Category : Computers
Languages : en
Pages : 169

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Book Description
This book provides an overview of crowdsourced data management. Covering all aspects including the workflow, algorithms and research potential, it particularly focuses on the latest techniques and recent advances. The authors identify three key aspects in determining the performance of crowdsourced data management: quality control, cost control and latency control. By surveying and synthesizing a wide spectrum of studies on crowdsourced data management, the book outlines important factors that need to be considered to improve crowdsourced data management. It also introduces a practical crowdsourced-database-system design and presents a number of crowdsourced operators. Self-contained and covering theory, algorithms, techniques and applications, it is a valuable reference resource for researchers and students new to crowdsourced data management with a basic knowledge of data structures and databases.

Confidentiality and Integrity in Crowdsourcing Systems

Confidentiality and Integrity in Crowdsourcing Systems PDF Author: Amin Ranj Bar
Publisher: Springer Science & Business Media
ISBN: 3319027174
Category : Technology & Engineering
Languages : en
Pages : 79

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Book Description
Confidentiality and Integrity in Crowdsourcing Systems focuses on identity, privacy, and security related issues in crowdsourcing systems and in particular the confidentiality and integrity of online data created via crowdsourcing. This book begins with an introduction to crowdsourcing and then covers the privacy and security challenges of Confidentiality. The book examines integrity in these systems and the management and control of crowdsourcing systems.

Privacy, Security and Data Protection in Crowdsourcing Platforms

Privacy, Security and Data Protection in Crowdsourcing Platforms PDF Author: Buddhadeb Halder
Publisher:
ISBN:
Category :
Languages : en
Pages : 17

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Book Description
Following the birth of 'digital' crowdsourcing for crisis response, numbers of platforms have been developed by different crisis response to address crisis. At present the crisis informatics is based on crowdsourced data analytics - a combination of crowdsourcing retrieval and filtering, situational awareness and decision support systems. As emerging tools and technologies offer huge potential to response quickly and on time during crisis, crisis responders do take support from these tools and techniques. Present crisis response work is more affordable, more accurate and more trustworthy.However, researchers and crisis responders mention some risks of using emerging ICTs and crowdsourcing in disaster management. To understand and identify these risks properly, an intensive research was conducted among four crowdsourcing platforms. This paper aims to present those risks and offer recommendations for crowdsourcing disaster management platforms.

Privacy and Security for Mobile Crowdsourcing

Privacy and Security for Mobile Crowdsourcing PDF Author: Shabnam Sodagari
Publisher: CRC Press
ISBN: 1003811442
Category : Computers
Languages : en
Pages : 133

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Book Description
This concise guide to mobile crowdsourcing and crowdsensing vulnerabilities and countermeasures walks readers through a series of examples, discussions, tables, initiative figures, and diagrams to present to them security and privacy foundations and applications. Discussed approaches help build intuition to apply these concepts to a broad range of system security domains toward dimensioning of next generations of mobiles crowdsensing applications. This book offers vigorous techniques as well as new insights for both beginners and seasoned professionals. It reflects on recent advances and research achievements. Technical topics discussed in the book include but are not limited to: Risks affecting crowdsensing platforms Spatio-temporal privacy of crowdsourced applications Differential privacy for data mining crowdsourcing Blockchain-based crowdsourcing Secure wireless mobile crowdsensing. This book is accessible to readers in mobile computer/communication industries as well as academic staff and students in computer science, electrical engineering, telecommunication systems, business information systems, and crowdsourced mobile app developers.

Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics

Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics PDF Author: Khosrow-Pour, D.B.A., Mehdi
Publisher: IGI Global
ISBN: 1522575995
Category : Computers
Languages : en
Pages : 1946

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Book Description
From cloud computing to data analytics, society stores vast supplies of information through wireless networks and mobile computing. As organizations are becoming increasingly more wireless, ensuring the security and seamless function of electronic gadgets while creating a strong network is imperative. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics highlights the challenges associated with creating a strong network architecture in a perpetually online society. Readers will learn various methods in building a seamless mobile computing option and the most effective means of analyzing big data. This book is an important resource for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, and IT specialists seeking modern information on emerging methods in data mining, information technology, and wireless networks.

Handbook of Mobile Data Privacy

Handbook of Mobile Data Privacy PDF Author: Aris Gkoulalas-Divanis
Publisher: Springer
ISBN: 3319981617
Category : Computers
Languages : en
Pages : 426

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Book Description
This handbook covers the fundamental principles and theory, and the state-of-the-art research, systems and applications, in the area of mobility data privacy. It is primarily addressed to computer science and statistics researchers and educators, who are interested in topics related to mobility privacy. This handbook will also be valuable to industry developers, as it explains the state-of-the-art algorithms for offering privacy. By discussing a wide range of privacy techniques, providing in-depth coverage of the most important ones, and highlighting promising avenues for future research, this handbook also aims at attracting computer science and statistics students to this interesting field of research. The advances in mobile devices and positioning technologies, together with the progress in spatiotemporal database research, have made possible the tracking of mobile devices (and their human companions) at very high accuracy, while supporting the efficient storage of mobility data in data warehouses, which this handbook illustrates. This has provided the means to collect, store and process mobility data of an unprecedented quantity, quality and timeliness. As ubiquitous computing pervades our society, user mobility data represents a very useful but also extremely sensitive source of information. On one hand, the movement traces that are left behind by the mobile devices of the users can be very useful in a wide spectrum of applications such as urban planning, traffic engineering, and environmental pollution management. On the other hand, the disclosure of mobility data to third parties may severely jeopardize the privacy of the users whose movement is recorded, leading to abuse scenarios such as user tailing and profiling. A significant amount of research work has been conducted in the last 15 years in the area of mobility data privacy and important research directions, such as privacy-preserving mobility data management, privacy in location sensing technologies and location-based services, privacy in vehicular communication networks, privacy in location-based social networks, privacy in participatory sensing systems which this handbook addresses.. This handbook also identifies important privacy gaps in the use of mobility data and has resulted to the adoption of international laws for location privacy protection (e.g., in EU, US, Canada, Australia, New Zealand, Japan, Singapore), as well as to a large number of interesting technologies for privacy-protecting mobility data, some of which have been made available through open-source systems and featured in real-world applications.

Towards Privacy-sensitive Mobile Crowdsourcing

Towards Privacy-sensitive Mobile Crowdsourcing PDF Author: Lakhdar Meftah
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
With the widespread adoption of mobile phones, devices are used to track the user's activity and to collect insightful reports from the environment (e.g., air quality, network quality). Most of these collected data are systematically tagged with the user location which may inevitably lead to user privacy leaks by discarding sensitive information a posteriori based on their potential points of interest.This thesis introduces an anonymous data collection library for mobile apps, a software library that improves the user's privacy without compromising the overall quality of the crowdsourced dataset. In particular, we propose a decentralized approach, named FOUGERE, to convey data samples from user devices using peer-to-peer (P2P) communications to third-party servers, thus introducing an a priori data anonymization process that is resilient to location-based attacks.To validate our approach, we propose a testing framework to test this P2P communication library, named PEERFLEET. Beyond the identification of P2P-related errors, PEERFLEET also helps to tune the discovery protocol settings to optimize the deployment of P2P apps.We validate FOUGERE using 500 emulated devices that replay a mobility dataset and use FOUGERE to collect location data. We evaluate the overhead, the privacy and the utility of FOUGERE. We show that FOUGERE defeats the state-of-the-art location-based privacy attacks with little impact on the quality of the collected data.

Crowdsourcing Geographic Knowledge

Crowdsourcing Geographic Knowledge PDF Author: Daniel Sui
Publisher: Springer Science & Business Media
ISBN: 9400745877
Category : Science
Languages : en
Pages : 394

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Book Description
The phenomenon of volunteered geographic information is part of a profound transformation in how geographic data, information, and knowledge are produced and circulated. By situating volunteered geographic information (VGI) in the context of big-data deluge and the data-intensive inquiry, the 20 chapters in this book explore both the theories and applications of crowdsourcing for geographic knowledge production with three sections focusing on 1). VGI, Public Participation, and Citizen Science; 2). Geographic Knowledge Production and Place Inference; and 3). Emerging Applications and New Challenges. This book argues that future progress in VGI research depends in large part on building strong linkages with diverse geographic scholarship. Contributors of this volume situate VGI research in geography’s core concerns with space and place, and offer several ways of addressing persistent challenges of quality assurance in VGI. This book positions VGI as part of a shift toward hybrid epistemologies, and potentially a fourth paradigm of data-intensive inquiry across the sciences. It also considers the implications of VGI and the exaflood for further time-space compression and new forms, degrees of digital inequality, the renewed importance of geography, and the role of crowdsourcing for geographic knowledge production.

Crowdsourcing

Crowdsourcing PDF Author: Daren C. Brabham
Publisher: MIT Press
ISBN: 0262314258
Category : Language Arts & Disciplines
Languages : en
Pages : 163

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Book Description
A concise introduction to crowdsourcing that goes beyond social media buzzwords to explain what crowdsourcing really is and how it works. Ever since the term “crowdsourcing” was coined in 2006 by Wired writer Jeff Howe, group activities ranging from the creation of the Oxford English Dictionary to the choosing of new colors for M&Ms have been labeled with this most buzz-generating of media buzzwords. In this accessible but authoritative account, grounded in the empirical literature, Daren Brabham explains what crowdsourcing is, what it is not, and how it works. Crowdsourcing, Brabham tells us, is an online, distributed problem solving and production model that leverages the collective intelligence of online communities for specific purposes set forth by a crowdsourcing organization—corporate, government, or volunteer. Uniquely, it combines a bottom-up, open, creative process with top-down organizational goals. Crowdsourcing is not open source production, which lacks the top-down component; it is not a market research survey that offers participants a short list of choices; and it is qualitatively different from predigital open innovation and collaborative production processes, which lacked the speed, reach, rich capability, and lowered barriers to entry enabled by the Internet. Brabham describes the intellectual roots of the idea of crowdsourcing in such concepts as collective intelligence, the wisdom of crowds, and distributed computing. He surveys the major issues in crowdsourcing, including crowd motivation, the misconception of the amateur participant, crowdfunding, and the danger of “crowdsploitation” of volunteer labor, citing real-world examples from Threadless, InnoCentive, and other organizations. And he considers the future of crowdsourcing in both theory and practice, describing its possible roles in journalism, governance, national security, and science and health.