Data Privacy and Crowdsourcing

Data Privacy and Crowdsourcing

Author: Lars Hornuf

Publisher: Springer Nature

Published: 2023-08-28

Total Pages: 163

ISBN-13: 3031320646

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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

Author: Guoliang Li

Publisher: Springer

Published: 2019-11-08

Total Pages: 172

ISBN-13: 9789811340123

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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

Author: Amin Ranj Bar

Publisher: Springer Science & Business Media

Published: 2013-10-28

Total Pages: 79

ISBN-13: 3319027174

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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

Author: Buddhadeb Halder

Publisher:

Published: 2017

Total Pages: 17

ISBN-13:

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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

Author: Shabnam Sodagari

Publisher: CRC Press

Published: 2023-12-21

Total Pages: 133

ISBN-13: 1003811442

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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

Author: Khosrow-Pour, D.B.A., Mehdi

Publisher: IGI Global

Published: 2018-10-19

Total Pages: 1946

ISBN-13: 1522575995

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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.


Crowdsourcing for Filmmakers

Crowdsourcing for Filmmakers

Author: Richard Botto

Publisher: Taylor & Francis

Published: 2017-09-11

Total Pages: 253

ISBN-13: 1317533038

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Whether you’re a producer, screenwriter, filmmaker, or other creative, you probably have a project that needs constant exposure, or a product to promote. But how do you rise above the noise? In Crowdsourcing for Filmmakers: Indie Film and the Power of the Crowd, Richard Botto explains how to put crowdsourcing to use for your creative project, using social media, networking, branding, crowdfunding, and an understanding of your audience to build effective crowdsourcing campaigns, sourcing everything from film equipment to shooting locations. Botto covers all aspects of crowdsourcing: how to create the message of your brand, project, or initiative; how to mold, shape, and adjust it based on mass response; how to broadcast a message to a targeted group and engage those with similar likes, beliefs, or interests; and finally, how to cultivate those relationships to the point where the message is no longer put forth solely by you, but carried and broadcasted by those who have responded to it. Using a wealth of case studies and practical know-how based on his years of experience in the industry and as founder of Stage 32—the largest crowdsourced platform for film creatives—Richard Botto presents a comprehensive and hands-on guide to crowdsourcing creatively and expertly putting your audience to work on your behalf.


Crowdsourcing Geographic Knowledge

Crowdsourcing Geographic Knowledge

Author: Daniel Sui

Publisher: Springer Science & Business Media

Published: 2012-08-10

Total Pages: 394

ISBN-13: 9400745877

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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.


Advances in Crowdsourcing

Advances in Crowdsourcing

Author: Fernando J. Garrigos-Simon

Publisher: Springer

Published: 2015-05-08

Total Pages: 183

ISBN-13: 3319183419

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​​This book attempts to link some of the recent advances in crowdsourcing with advances in innovation and management. It contributes to the literature in several ways. First, it provides a global definition, insights and examples of this managerial perspective resulting in a theoretical framework. Second, it explores the relationship between crowdsourcing and technological innovation, the development of social networks and new behaviors of Internet users. Third, it explores different crowdsourcing applications in various sectors such as medicine, tourism, information and communication technology (ICT), and marketing. Fourth, it observes the ways in which crowdsourcing can improve production, finance, management and overall managerial performance. Crowdsourcing, also known as “massive outsourcing” or “voluntary outsourcing,” is the act of taking a job or a specific task usually performed by an employee of a company or contractors, and outsourcing it to a large group of people or a community (crowd or mass) via the Internet, through an open call. The term was coined by Jeff Howe in a 2006 issue of Wired magazine. It is being developed in different sciences (i.e., medicine, engineering, ICT, management) and is used in the most successful companies of the modern era (i.e., Apple, Facebook, Inditex, Starbucks). The developments in crowdsourcing has theoretical and practical implications, which will be explored in this book. Including contributions from international academics, scholars and professionals within the field, this book provides a global, multidimensional perspective on crowdsourcing.​


Towards Privacy-sensitive Mobile Crowdsourcing

Towards Privacy-sensitive Mobile Crowdsourcing

Author: Lakhdar Meftah

Publisher:

Published: 2019

Total Pages: 0

ISBN-13:

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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.