Download or read book Data Privacy and Crowdsourcing written by Lars Hornuf and published by Springer Nature. This book was released on 2023-08-28 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Privacy Security and Data Protection in Crowdsourcing Platforms written by Buddhadeb Halder and published by . This book was released on 2017 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Privacy in a Digital Networked World written by Sherali Zeadally and published by Springer. This book was released on 2015-10-13 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive textbook/reference presents a focused review of the state of the art in privacy research, encompassing a range of diverse topics. The first book of its kind designed specifically to cater to courses on privacy, this authoritative volume provides technical, legal, and ethical perspectives on privacy issues from a global selection of renowned experts. Features: examines privacy issues relating to databases, P2P networks, big data technologies, social networks, and digital information networks; describes the challenges of addressing privacy concerns in various areas; reviews topics of privacy in electronic health systems, smart grid technology, vehicular ad-hoc networks, mobile devices, location-based systems, and crowdsourcing platforms; investigates approaches for protecting privacy in cloud applications; discusses the regulation of personal information disclosure and the privacy of individuals; presents the tools and the evidence to better understand consumers’ privacy behaviors.

Download or read book Advances in Human Factors in Cybersecurity written by Tareq Z. Ahram and published by Springer. This book was released on 2018-06-23 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest research and developments in the field of cybersecurity, particularly focusing on personal security and new methods for reducing human error and increasing cyber awareness, as well as innovative solutions for increasing the security of advanced Information Technology (IT) infrastructures. It covers a broad range of topics, including methods for human training; novel cyber-physical and process-control systems; social, economic, and behavioral aspects of cyberspace; issues concerning the cybersecurity index; security metrics for enterprises; and risk evaluation. Based on the AHFE 2018 International Conference on Human Factors in Cybersecurity, held on July 21–25, 2018, in Orlando, Florida, USA, the book not only presents innovative cybersecurity technologies, but also discusses emerging threats, current gaps in the available systems, and future challenges that can be successfully overcome with the help of human factors research.

Download or read book Privacy GDPR for Digital Platforms written by Ajay Sharma and published by Synechron Inc. This book was released on 2018-09-16 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a solid understanding of how Digital Platforms and Services need to handle Privacy in today's world. It includes implementing Privacy & GDPR regulations for complex digital web applications and not just simple websites. Book covers a checklist of items your digital platform needs to cover in order to address privacy concerns of your users and lawmakers.

Download or read book Using Social Media for Global Security written by Ravi Gupta and published by John Wiley & Sons. This book was released on 2013-01-16 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essential reading for cybersecurity professionals, security analysts, policy experts, decision-makers, activists, and law enforcement! During the Arab Spring movements, the world witnessed the power of social media to dramatically shape events. Now this timely book shows government decision-makers, security analysts, and activists how to use the social world to improve security locally, nationally, and globally--and cost-effectively. Authored by two technology/behavior/security professionals, Using Social Media for Global Security offers pages of instruction and detail on cutting-edge social media technologies, analyzing social media data, and building crowdsourcing platforms. The book teaches how to collect social media data and analyze it to map the social networks of terrorists and sex traffickers, and forecast attacks and famines. You will learn how to coalesce communities through social media to help catch murderers, coordinate disaster relief, and collect intelligence about drug smuggling from hard-to-reach areas. Also highlighting dramatic case studies drawn from the headlines, this crucial book is a must-read. Illustrates linguistic, correlative, and network analysis of OSINT Examines using crowdsourcing technologies to work and engage with populations globally to solve security problems Explores how to ethically deal with social media data without compromising people’s rights to privacy and freedom of expression Shows activists fighting against oppressive regimes how they can protect their identities online If you're responsible for maintaining local, national or global security, you'll want to read Using Social Media for Global Security.

Download or read book Internal Crowdsourcing in Companies written by Hannah Ulbrich and published by Springer Nature. This book was released on 2020-12-07 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book examines the implications of internal crowdsourcing (IC) in companies. Presenting an employee-oriented, cross-sector reference model for good IC practice, it discusses the core theoretical foundations, and offers guidelines for process-management and blueprints for the implementation of IC. Furthermore, it examines solutions for employee training and competence development based on crowdsourcing. As such, the book will appeal to scholars of management science, work studies, organizational and participation research and to readers interested in inclusive approaches for cooperative change management and the IT implications for IC platforms.

Download or read book Data Privacy written by Nishant Bhajaria and published by Simon and Schuster. This book was released on 2022-03-22 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits. In Data Privacy you will learn how to: Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Asset Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and board Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You’ll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book’s constant awareness of business requirements will help you balance trade-offs, and ensure your user’s privacy can be improved without spiraling time and resource costs. About the technology Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user’s trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy. About the book Data Privacy: A runbook for engineers teaches you how to navigate the trade-off s between strict data security and real world business needs. In this practical book, you’ll learn how to design and implement privacy programs that are easy to scale and automate. There’s no bureaucratic process—just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals. What's inside Classify data based on privacy risk Set up capabilities for data export that meet legal requirements Establish a review process to accelerate privacy impact assessment Design a consent management platform to capture user consent About the reader For engineers and business leaders looking to deliver better privacy. About the author Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. His previous roles include head of privacy engineering at Netflix, and data security and privacy at Google. Table of Contents PART 1 PRIVACY, DATA, AND YOUR BUSINESS 1 Privacy engineering: Why it’s needed, how to scale it 2 Understanding data and privacy PART 2 A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE 3 Data classification 4 Data inventory 5 Data sharing PART 3 BUILDING TOOLS AND PROCESSES 6 The technical privacy review 7 Data deletion 8 Exporting user data: Data Subject Access Requests PART 4 SECURITY, SCALING, AND STAFFING 9 Building a consent management platform 10 Closing security vulnerabilities 11 Scaling, hiring, and considering regulations

Download or read book Internet of Things Security and Data Protection written by Sébastien Ziegler and published by Springer. This book was released on 2019-03-19 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the most recent developments in Internet of Things (IoT) security and data protection. It presents the results of several international research projects addressing this topic from complementary angles. It starts by analyzing the main privacy and security threats on IoT, as well as the evolution of data protection norms, such as the European General Data Protection Regulation (GDPR), and their impact on IoT. Through a comprehensive and systematic approach, the contributors present new perspectives on IoT & Cloud Computing security requirements. They discuss the most recent approach to support trusted IoT, including new models of privacy risk assessment, labeling and certification, and contractual tools (such as Privacy PACT). Practical implementations, such as in the European Large Scale Pilots on IoT for Smart Cities (Synchronicity), are presented, explaining how they address security, privacy and data protection. Finally, innovative models to secure IoT systems are presented for the network and end-nodes security, including network threats analysis.

Download or read book Online Social Networks Security written by Brij B. Gupta and published by CRC Press. This book was released on 2021-02-26 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, virtual meeting technology has become a part of the everyday lives of more and more people, often with the help of global online social networks (OSNs). These help users to build both social and professional links on a worldwide scale. The sharing of information and opinions are important features of OSNs. Users can describe recent activities and interests, share photos, videos, applications, and much more. The use of OSNs has increased at a rapid rate. Google+, Facebook, Twitter, LinkedIn, Sina Weibo, VKontakte, and Mixi are all OSNs that have become the preferred way of communication for a vast number of daily active users. Users spend substantial amounts of time updating their information, communicating with other users, and browsing one another’s accounts. OSNs obliterate geographical distance and can breach economic barrier. This popularity has made OSNs a fascinating test bed for cyberattacks comprising Cross-Site Scripting, SQL injection, DDoS, phishing, spamming, fake profile, spammer, etc. OSNs security: Principles, Algorithm, Applications, and Perspectives describe various attacks, classifying them, explaining their consequences, and offering. It also highlights some key contributions related to the current defensive approaches. Moreover, it shows how machine-learning and deep-learning methods can mitigate attacks on OSNs. Different technological solutions that have been proposed are also discussed. The topics, methodologies, and outcomes included in this book will help readers learn the importance of incentives in any technical solution to handle attacks against OSNs. The best practices and guidelines will show how to implement various attack-mitigation methodologies.

Download or read book Quality Reliability Security and Robustness in Heterogeneous Systems written by Xingliang Yuan and published by Springer Nature. This book was released on 2021-11-16 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 17th EAI International Conference on Quality, Reliability, Security and Robustness in Heterogeneous Networks, QShine 2021, held in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 20 revised full papers were carefully reviewed and selected from 43 submissions. The papers are organized thematically in tracks Machine Learning in Distributed Networks; 5G Networks and Security; IoT Security and Lightweight Cryptography; Network Security; and Privacy-preserving Emerging Networked Applications.

Download or read book Confidentiality and Integrity in Crowdsourcing Systems written by Amin Ranj Bar and published by Springer Science & Business Media. This book was released on 2013-10-28 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Privacy and Data Protection Challenges in the Distributed Era written by Eugenia Politou and published by Springer Nature. This book was released on 2021-10-22 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the conflicts arising from the implementation of privacy principles enshrined in the GDPR, and most particularly of the ``Right to be Forgotten'', on a wide range of contemporary organizational processes, business practices, and emerging computing platforms and decentralized technologies. Among others, we study two ground-breaking innovations of our distributed era: the ubiquitous mobile computing and the decentralized p2p networks such as the blockchain and the IPFS, and we explore their risks to privacy in relation to the principles stipulated by the GDPR. In that context, we identify major inconsistencies between these state-of-the-art technologies with the GDPR and we propose efficient solutions to mitigate their conflicts while safeguarding the privacy and data protection rights. Last but not least, we analyse the security and privacy challenges arising from the COVID-19 pandemic during which digital technologies are extensively utilized to surveil people’s lives.

Download or read book Data and Applications Security and Privacy XXXV written by Ken Barker and published by Springer Nature. This book was released on 2021-07-14 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 35th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2021, held in Calgary, Canada, in July 2021.* The 15 full papers and 8 short papers presented were carefully reviewed and selected from 45 submissions. The papers present high-quality original research from academia, industry, and government on theoretical and practical aspects of information security. They are organized in topical sections named differential privacy, cryptology, machine learning, access control and others. *The conference was held virtually due to the COVID-19 pandemic.

Download or read book Privacy Preserving in Mobile Crowdsensing written by Chuan Zhang and published by Springer Nature. This book was released on 2023-03-24 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

Download or read book Security and Privacy in Communication Networks written by Songqing Chen and published by Springer Nature. This book was released on 2019-12-12 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNICST 304-305 constitutes the post-conference proceedings of the 15thInternational Conference on Security and Privacy in Communication Networks, SecureComm 2019, held in Orlando, FL, USA, in October 2019. The 38 full and 18 short papers were carefully reviewed and selected from 149 submissions. The papers are organized in topical sections on blockchains, internet of things, machine learning, everything traffic security communicating covertly, let’s talk privacy, deep analysis, systematic theory, bulletproof defenses, blockchains and IoT, security and analytics, machine learning, private, better clouds, ATCS workshop.