Privacy and Big Data

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Aadinath Pothuvaal
Genre : Computers

Summary : The illustrations in this book are created by “Team Educohack”. Data Privacy and Big Data: A Foundational Guide is your essential resource for understanding the importance of data privacy and its critical role in data security. As firms expand and data volumes grow, safeguarding data becomes increasingly vital. This book offers comprehensive knowledge on the subject, ensuring data is handled correctly and protected from misuse. We begin with an introduction to data privacy, followed by chapters on machine learning, statistical learning, and the implications of data protection. The book also covers compliance tools, classification approaches for Big Data security, and the evolving landscape of user privacy and innovation. A crucial chapter on big data privacy explores privacy models, disclosure risk measures, and data masking methods. We also delve into performance measurement of big data analytics and selecting appropriate data masking techniques. The book concludes with a compelling case study on data forensics, providing practical insights. Data Privacy and Big Data: A Foundational Guide is an indispensable guide for anyone looking to navigate the complexities of data privacy in today’s digital world.

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Tom Price
Genre : Big data

Summary : Big data -- the collection and analysis of enormous amounts of information by supercomputers -- is leading to huge advances in such fields as astrophysics, medicine, social science, business and crime fighting. And big data is growing exponentially: According to IBM, 90 percent of the world's data has been generated within just the past two years. But the use of big data -- including Tweets, Facebook images and email addresses -- is controversial because of its potential to erode individual privacy, especially by governments conducting surveillance operations and companies marketing products. Some civil liberties advocates want to control the use of big data, and others think companies should pay to use people's online information. But some proponents of big data say the benefits outweigh the risks and that privacy is an outdated concept.

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Pradip Kumar Das
Genre : Computers

Summary : 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.

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Julia Lane
Genre : Computers

Summary : Data access is essential for serving the public good. This book provides new frameworks to address the resultant privacy issues.

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Yelena Krumins
Genre : Computers

Summary : In the twenty-first century, we have witnessed an unprecedented transformation in how information is collected, processed, and utilized across virtually every sector of human activity. The emergence of big data has fundamentally altered the landscape of privacy, creating both extraordinary opportunities for innovation and profound challenges for individual autonomy and data protection. This digital revolution has ushered in an era where every click, purchase, movement, and interaction generates valuable data points that organizations eagerly collect and analyze. The concept of big data encompasses far more than simply large datasets. It represents a paradigm shift in how we understand information, characterized by the famous "three Vs" of volume, velocity, and variety. Volume refers to the massive scale of data generation, with estimates suggesting that humans create 2.5 quintillion bytes of data daily. Velocity describes the unprecedented speed at which data is generated, processed, and analyzed in real-time. Variety encompasses the diverse formats and sources of data, from structured databases to unstructured social media posts, sensor readings, and multimedia content. This explosion of data generation has created what privacy experts call the "digital footprint revolution." Every individual in the connected world now leaves behind an extensive trail of digital breadcrumbs that collectively paint an incredibly detailed portrait of their behaviors, preferences, relationships, and even psychological characteristics. Unlike physical footprints that fade over time, digital footprints persist indefinitely, creating permanent records that can be combined, analyzed, and monetized in ways that were previously unimaginable.

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Yan Yan (Computer scientist)
Genre : Computers

Summary : "This book examines the uses and potential risks of location-based services (LBS) in the context of big data, with a focus on location privacy protection methods. The growth of the mobile Internet and the popularity of smart devices have spurred the development of LBS and related mobile applications. However, the misuse of sensitive location data could compromise the physical and communication security of associated devices and nodes, potentially leading to privacy breaches. This book explores the potential risks to the location privacy of mobile users in the context of big data applications. It discusses the latest methods and implications of location privacy from different perspectives. The author offers case studies of three applications: statistical disclosure and privacy protection of location-based big data using a centralised differential privacy model; a user location perturbation mechanism based on a localised differential privacy model; and terminal location perturbation using a geo-indistinguishability model. Linking recent developments in three-dimensional positioning and artificial intelligence, the book also predicts future trends and provides insights into research issues in location privacy. This title will be a valuable resource for researchers, students, and professionals interested in location-based services, privacy computing and protection, wireless network security, and big data security"--

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Tobias Schoenberger
Genre : Law

Summary : There is no global privacy or data law but often data and privacy are global. The study develops building blocks for a modern global privacy law or framework. The building blocks draw on the capabilities of new data technology and how human users interact with such technology. By integrating the building blocks into a modern privacy law or framework, countries can achieve a harmonization of their data and privacy regulation. The study further examines the U.S. Consumer Online Privacy Rights Act (COPRA), a federal privacy bill, and assesses its effectiveness against the building blocks of a modern privacy law or framework. The U.S. now has many state privacy laws but lacks a federal privacy law. COPRA has been one of the most comprehensive federal privacy bills. Its structure and content has influenced other federal privacy bills such as the American Privacy Rights Act. The study wants to raise interest for the U.S. perspective and current developments in U.S. privacy law. COPRA proposes new regulatory solutions how to meet current challenges in personal data processing which differ from European data protection law. Europe and the EU Commission should remain open to evaluating and, where possible, recognizing different regulatory choices such as in COPRA. This is why the study asks: Should the U.S. after COPRA be considered an adequate country according to Art. 45 para. 1 sentence 1 GDPR? Should EU data protection law draw inspiration from COPRA for a modern interpretation of the GDPR or for a possible reform of EU data protection law?