- Table View
- List View
Privacy and Security Issues in Big Data: An Analytical View on Business Intelligence (Services and Business Process Reengineering)
by Pradip Kumar Das Hrudaya Kumar Tripathy Shafiz Affendi Mohd YusofThis 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.
Privacy as Trust: Information Privacy for an Information Age
by Ari Ezra WaldmanIt seems like there is no such thing as privacy anymore. But the truth is that privacy is in danger only because we think about it in narrow, limited, and outdated ways. In this transformative work, Ari Ezra Waldman, leveraging the notion that we share information with others in contexts of trust, offers a roadmap for data privacy that will better protect our information in a digitized world. With case studies involving websites, online harassment, intellectual property, and social robots, Waldman shows how 'privacy as trust' can be applied in the most challenging real-world contexts to make privacy work for all of us. This book should be read by anyone concerned with reshaping the theory and practice of privacy in the modern world.
Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by Francesco Bonchi Elena FerrariCovering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and complexity of new forms of data. Renowned authorities
Privacy Computing: Theory and Technology
by Fenghua Li Hui Li Ben NiuThe continuous evolution and widespread application of communication technology, network technology and computing technology have promoted the intelligent interconnection of all things and ubiquitous sharing of information. The cross-border, cross-system, and cross-ecosystem exchange of user data has become commonplace. At the same time, difficulties in the prevention of private information abuse and lack of protection methods have become global problems. As such, there is an urgent need to intensify basic theoretical research in this field to support the protection of personal information in a ubiquitously interconnected environment. The authors of this book proposed the concept, definition and research scope of privacy computing for the first time in 2015. This book represents their original and innovative scientific research achievement dedicated to privacy computing research, and systematically explains the basic theory and technology involved. It introduces readers to the connection between personal information and privacy protection, defines privacy protection and privacy desensitization, clarifies and summarizes the limitations of existing privacy-preserving technologies in practical information system applications, analyzes the necessity of conducting privacy computing research, and proposes the concept, definition and research scope of privacy computing. It comprehensively expounds the theoretical system of privacy computing and some privacy-preserving algorithms based on the idea of privacy computing. In closing, it outlines future research directions.
Privacy, Data Protection and Cybersecurity in Europe
by Wolf J. Schünemann Max-Otto BaumannThis book offers a comparative perspective on data protection and cybersecurity in Europe. In light of the digital revolution and the implementation of social media applications and big data innovations, it analyzes threat perceptions regarding privacy and cyber security, and examines socio-political differences in the fundamental conceptions and narratives of privacy, and in data protection regimes, across various European countries. The first part of the book raises fundamental legal and ethical questions concerning data protection; the second analyses discourses on cybersecurity and data protection in various European countries; and the third part discusses EU regulations and norms intended to create harmonized data protection regimes.
Privacy, Data Protection and Data-driven Technologies (Routledge Research in the Law of Emerging Technologies)
by Martin Ebers Karin SeinThis book brings together contributions from leading scholars in law and technology, analysing the privacy issues raised by new data-driven technologies.Highlighting the challenges that technology poses to existing European Union (EU) data protection laws, the book assesses whether current legal frameworks are fit for purpose, while maintaining a balance between supporting innovation and the protection of individual’s privacy. Data privacy issues range from targeted advertising and facial recognition, systems based on artificial intelligence (AI) and blockchain, and machine-to-machine (M2M) communication, to technologies that enable the detection of emotions and personal care robots.The book will be of interest to scholars, policymakers and practitioners working in the fields of law and technology, EU law and data protection.
Privacy, Due Process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology
by Mireille Hildebrandt Katja De VriesPrivacy, Due process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology engages with the rapidly developing computational aspects of our world including data mining, behavioural advertising, iGovernment, profiling for intelligence, customer relationship management, smart search engines, personalized news feeds, and so on in order to consider their implications for the assumptions on which our legal framework has been built. The contributions to this volume focus on the issue of privacy, which is often equated with data privacy and data security, location privacy, anonymity, pseudonymity, unobservability, and unlinkability. Here, however, the extent to which predictive and other types of data analytics operate in ways that may or may not violate privacy is rigorously taken up, both technologically and legally, in order to open up new possibilities for considering, and contesting, how we are increasingly being correlated and categorizedin relationship with due process – the right to contest how the profiling systems are categorizing and deciding about us.
The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value
by Michelle Finneran Dennedy Jonathan Fox Thomas R. Finneran"It''s our thesis that privacy will be an integral part of the next wave in the technology revolution and that innovators who are emphasizing privacy as an integral part of the product life cycle are on the right track. " --The authors of The Privacy Engineer''s Manifesto The Privacy Engineer''s Manifesto: Getting from Policy to Code to QA to Value is the first book of its kind, offering industry-proven solutions that go beyond mere theory and adding lucid perspectives on the challenges and opportunities raised with the emerging "personal" information economy. The authors, a uniquely skilled team of longtime industry experts, detail how you can build privacy into products, processes, applications, and systems. The book offers insight on translating the guiding light of OECD Privacy Guidelines, the Fair Information Practice Principles (FIPPs), Generally Accepted Privacy Principles (GAPP) and Privacy by Design (PbD) into concrete concepts that organizations, software/hardware engineers, and system administrators/owners can understand and apply throughout the product or process life cycle--regardless of development methodology--from inception to retirement, including data deletion and destruction. In addition to providing practical methods to applying privacy engineering methodologies, the authors detail how to prepare and organize an enterprise or organization to support and manage products, process, systems, and applications that require personal information. The authors also address how to think about and assign value to the personal information assets being protected. Finally, the team of experts offers thoughts about the information revolution that has only just begun, and how we can live in a world of sensors and trillions of data points without losing our ethics or value(s). . . and even have a little fun. The Privacy Engineer''s Manifesto is designed to serve multiple stakeholders: Anyone who is involved in designing, developing, deploying and reviewing products, processes, applications, and systems that process personal information, including software/hardware engineers, technical program and product managers, support and sales engineers, system integrators, IT professionals, lawyers, and information privacy and security professionals. This book is a must-read for all practitioners in the personal information economy. Privacy will be an integral part of the next wave in the technology revolution; innovators who emphasize privacy as an integral part of the product life cycle are on the right track. Foreword by Dr. Eric Bonabeau, PhD, Chairman, Icosystem, Inc. & Dean of Computational Sciences, Minerva Schools at KGI. What you''ll learn What''s at stake as concerns data privacy become critical considerations for users, developers, and enterprise stakeholders Comprehensive foundational understanding of the issues and how they are interconnected What the emerging job description of "privacy engineer" means Key development models for privacy architecture How to assemble an engineering privacy tool box (including developing privacy use cases and requirements Organizational design implications of privacy engineering Quality Assurance (QA) methodologies for privacy policy compliance Models for valuing data The 10-point Manifesto of the Privacy Engineer Who this book is for The Privacy Engineer''s Manifesto is designed to serve multiple stakeholders: Anyone who is involved in designing, developing, deploying, and reviewing products, processes, applications, and systems that process personal information, including software/hardware engineers, technical program and product managers, support and sales engineers, system integrators, IT professionals, lawyers, and information privacy and security professionals. A must read for all practitioners in the personal information economy. Table of Contents Part 1 - Getting Your Head Around Privacy Chapter 1: Technology Evolution and People Chapter 2: Foundational Concepts and Frameworks Chapter 3: Data and Privacy Governance Concepts Part 2 - The Privacy Engineering Pr...
Privacy-Enhancing Fog Computing and Its Applications (SpringerBriefs in Electrical and Computer Engineering)
by Xiaodong Lin Jianbing Ni Xuemin Sherman ShenThis SpringerBrief covers the security and privacy challenges in fog computing, and proposes a new secure and privacy-preserving mechanisms to resolve these challenges for securing fog-assisted IoT applications. Chapter 1 introduces the architecture of fog-assisted IoT applications and the security and privacy challenges in fog computing. Chapter 2 reviews several promising privacy-enhancing techniques and illustrates examples on how to leverage these techniques to enhance the privacy of users in fog computing. Specifically, the authors divide the existing privacy-enhancing techniques into three categories: identity-hidden techniques, location privacy protection and data privacy enhancing techniques. The research is of great importance since security and privacy problems faced by fog computing impede the healthy development of its enabled IoT applications. With the advanced privacy-enhancing techniques, the authors propose three secure and privacy-preserving protocols for fog computing applications, including smart parking navigation, mobile crowdsensing and smart grid. Chapter 3 introduces identity privacy leakage in smart parking navigation systems, and proposes a privacy-preserving smart parking navigation system to prevent identity privacy exposure and support efficient parking guidance retrieval through road-side units (fogs) with high retrieving probability and security guarantees. Chapter 4 presents the location privacy leakage, during task allocation in mobile crowdsensing, and propose a strong privacy-preserving task allocation scheme that enables location-based task allocation and reputation-based report selection without exposing knowledge about the location and reputation for participators in mobile crowdsensing. Chapter 5 introduces the data privacy leakage in smart grid, and proposes an efficient and privacy-preserving smart metering protocol to allow collectors (fogs) to achieve real-time measurement collection with privacy-enhanced data aggregation. Finally, conclusions and future research directions are given in Chapter 6. This brief validates the significant feature extension and efficiency improvement of IoT devices without sacrificing the security and privacy of users against dishonest fog nodes. It also provides valuable insights on the security and privacy protection for fog-enabled IoT applications. Researchers and professionals who carry out research on security and privacy in wireless communication will want to purchase this SpringerBrief. Also, advanced level students, whose main research area is mobile network security will also be interested in this SpringerBrief.
Privacy in a Cyber Age
by Amitai EtzioniThis book lays out the foundation of a privacy doctrine suitable to the cyber age. It limits the volume, sensitivity, and secondary analysis that can be carried out. In studying these matters, the book examines the privacy issues raised by the NSA, publication of state secrets, and DNA usage.
Privacy in a Digital, Networked World
by Sherali Zeadally Mohamad BadraThis 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.
Privacy in Context
by Helen NissenbaumPrivacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself-most people understand that this is crucial to social life -but the inappropriate, improper sharing of information. Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts-whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life.
Privacy in Dynamical Systems
by Farhad FarokhiThis book addresses privacy in dynamical systems, with applications to smart metering, traffic estimation, and building management. In the first part, the book explores statistical methods for privacy preservation from the areas of differential privacy and information-theoretic privacy (e.g., using privacy metrics motivated by mutual information, relative entropy, and Fisher information) with provable guarantees. In the second part, it investigates the use of homomorphic encryption for the implementation of control laws over encrypted numbers to support the development of fully secure remote estimation and control. Chiefly intended for graduate students and researchers, the book provides an essential overview of the latest developments in privacy-aware design for dynamical systems.
Privacy in Practice: Establish and Operationalize a Holistic Data Privacy Program (ISSN)
by Alan TangPrivacy is not just the right to be left alone, but also the right to autonomy, control, and access to your personal data. The employment of new technologies over the last three decades drives personal data to play an increasingly important role in our economies, societies, and everyday lives. Personal information has become an increasingly valuable commodity in the digital age.At the same time, the abundance and persistence of personal data have elevated the risks to individuals’ privacy. In the age of Big Data, the Internet of Things, Biometrics, and Artificial Intelligence, it is becoming increasingly difficult for individuals to fully comprehend, let alone control, how and for what purposes organizations collect, use, and disclose their personal information. Consumers are growing increasingly concerned about their privacy, making the need for strong privacy champions ever more acute.With a veritable explosion of data breaches highlighted almost daily across the globe, and the introduction of heavy-handed privacy laws and regulatory frameworks, privacy has taken center stage for businesses. Businesses today are faced with increasing demands for privacy protections, ever-more complex regulations, and ongoing cybersecurity challenges that place heavy demands on scarce resources. Senior management and executives now acknowledge privacy as some of the biggest risks to the business.Privacy, traditionally, has existed in a separate realm, resulting in an unintentional and problematic barrier drawn between the privacy team and the rest of the organization. With many regulatory frameworks to consider, building an all-encompassing data privacy program becomes increasingly challenging. Effective privacy protection is essential to maintaining consumer trust and enabling a robust and innovative digital economy in which individuals feel they may participate with confidence.This book aims at helping organizations in establishing a unified, integrated, enterprise-wide privacy program. This book is aiming to help privacy leaders and professionals to bridge the privacy program and business strategies, transform legal terms and dead text to live and easy-to-understand essential requirements which organizations can easily implement, identify and prioritize privacy program gap initiatives and promote awareness and embed privacy into the everyday work of the agency and its staff.
Privacy in Statistical Databases: International Conference, PSD 2022, Paris, France, September 21–23, 2022, Proceedings (Lecture Notes in Computer Science #13463)
by Josep Domingo-Ferrer Maryline LaurentThis book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2022, held in Paris, France, during September 21-23, 2022.The 25 papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Privacy models; tabular data; disclosure risk assessment and record linkage; privacy-preserving protocols; unstructured and mobility data; synthetic data; machine learning and privacy; and case studies.
Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference, PSD 2018, Valencia, Spain, September 26–28, 2018, Proceedings (Lecture Notes in Computer Science #11126)
by Josep Domingo-Ferrer Francisco MontesThis book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2018, held in Valencia, Spain, in September 2018 under the sponsorship of the UNESCO Chair in Data Privacy. The 23 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers are organized into the following topics: tabular data protection; synthetic data; microdata and big data masking; record linkage; and spatial and mobility data.Chapter "SwapMob: Swapping Trajectories for Mobility Anonymization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings (Lecture Notes in Computer Science #12276)
by Josep Domingo-Ferrer Krishnamurty MuralidharThis book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy.The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies.The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Privacy in Statistical Databases: International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25–27, 2024, Proceedings (Lecture Notes in Computer Science #14915)
by Josep Domingo-Ferrer Melek ÖnenThis book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2024, held in Antibes Juan-les-Pins, France, during September 25-27, 2024. The 28 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: Privacy models and concepts; Microdata protection; Statistical table protection; Synthetic data generation methods; Synthetic data generation software; Disclosure risk assessment; Spatial and georeferenced data; Machine learning and privacy; and Case studies.
Privacy in the Age of Innovation: AI Solutions for Information Security
by Ranadeep Reddy Palle Krishna Chaitanya KathalaThis book will help you comprehend the impact of artificial intelligence (AI) on information security, data privacy, and data security.The book starts by explaining the basics and setting the goals for a complete understanding of how AI, Information Security, Data Privacy, and Data Security all connect. Then, it gives you important information about the basics of AI, machine learning, and deep learning in simple terms. It also talks about the ethics of using AI in privacy and security, making sure you understand the power and responsibility that come with AI. Next, it takes you through the complex world of information security and data privacy. It covers everything from the current state of security to how AI can detect threats and protect privacy. Additionally, it delves into ethical considerations to ensure the responsible use of AI in managing data privacy. Later chapters discuss strategies and future trends in using AI for data security, finding the right balance between security and privacy, and giving useful advice for organizations.In the end, this book examines the current landscape and foresees the future, underscoring the vital importance of maintaining a balance between innovation and privacy in AI-powered security.What you will learn:How AI is being used to detect and prevent cyberattacks in real-timeWhat are the AI-powered techniques for anonymizing and de-identifying data,What are the latest advancements in AI-powered privacy-enhancing technologies (PETs)How to find the right balance between security and privacyWho this book is for:Information security professionals, data scientists, and software developers seeking to gain an understanding of the latest trends and techniques in AI for information security
Privacy in Vehicular Networks: Challenges and Solutions
by null Baihe Ma null Xu Wang null Wei Ni null Ren Ping LiuIn an era where vehicular networks and Location-Based Services (LBS) are rapidly expanding, safeguarding location privacy has become a critical challenge. Privacy in Vehicular Networks delves into the complexities of protecting sensitive location data within the dynamic and decentralized environment of vehicular networks. This book stands out by addressing both the theoretical and practical aspects of location privacy, offering a thorough analysis of existing vulnerabilities and innovative solutions.This book meticulously examines the interplay between location privacy and the operational necessities of road networks. It introduces a differential privacy framework tailored specifically for vehicular environments, ensuring robust protection against various types of privacy breaches. By integrating advanced detection algorithms and personalized obfuscation schemes, the book provides a multi-faceted approach to enhancing location privacy without compromising data utility.The key features of this book can be summarized as follows: Comprehensive Analysis: Detailed examination of location privacy requirements and existing preservation mechanisms Innovative Solutions: Introduction of a Personalized Location Privacy-Preserving (PLPP) mechanism based on Road Network-Indistinguishability (RN-I) Advanced Detection: Utilization of Convolutional Neural Networks (CNN) for detecting illegal trajectories and enhancing data integrity Collective Security: Implementation of the Cloaking Region Obfuscation (CRO) mechanism to secure multiple vehicles in high-density road networks Holistic Approach: Joint Trajectory Obfuscation and Pseudonym Swapping (JTOPS) mechanism to seamlessly integrate privacy preservation with traffic management Future-Ready: Exploration of upcoming challenges and recommendations for future research in vehicular network privacy This book is essential for researchers, practitioners, and policymakers in the fields of vehicular networks, data privacy, and cybersecurity. It provides valuable insights for anyone involved in the development and implementation of LBS, ensuring they are equipped with the knowledge to protect user privacy effectively.
Privacy Is Hard and Seven Other Myths: Achieving Privacy through Careful Design
by Jaap-Henk HoepmanAn expert on computer privacy and security shows how we can build privacy into the design of systems from the start.We are tethered to our devices all day, every day, leaving data trails of our searches, posts, clicks, and communications. Meanwhile, governments and businesses collect our data and use it to monitor us without our knowledge. So we have resigned ourselves to the belief that privacy is hard--choosing to believe that websites do not share our information, for example, and declaring that we have nothing to hide anyway. In this informative and illuminating book, a computer privacy and security expert argues that privacy is not that hard if we build it into the design of systems from the start. Along the way, Jaap-Henk Hoepman debunks eight persistent myths surrounding computer privacy. The website that claims it doesn't collect personal data, for example; Hoepman explains that most data is personal, capturing location, preferences, and other information. You don't have anything to hide? There's nothing wrong with wanting to keep personal information--even if it's not incriminating or embarrassing--private. Hoepman shows that just as technology can be used to invade our privacy, it can be used to protect it, when we apply privacy by design. Hoepman suggests technical fixes, discussing pseudonyms, leaky design, encryption, metadata, and the benefits of keeping your data local (on your own device only), and outlines privacy design strategies that system designers can apply now.
The Privacy Leader Compass: A Comprehensive Business-Oriented Roadmap for Building and Leading Practical Privacy Programs
by Valerie Lyons Todd FitzgeraldCongratulations! Perhaps you have been appointed as the Chief Privacy Officer (CPO) or the Data Protection Officer (DPO) for your company. Or maybe you are an experienced CPO/DPO, and you wonder – "what can I learn from other successful privacy experts to be even more effective?" Or perhaps you are considering a move from a different career path and deciding if this is the right direction for you. Seasoned award-winning Privacy and Cybersecurity leaders Dr. Valerie Lyons (Dublin, Ireland) and Todd Fitzgerald (Chicago, IL USA) have teamed up with over 60 award-winning CPOs, DPOs, highly respected privacy/data protection leaders, data protection authorities, and privacy standard setters who have fought the tough battle. Just as the #1 best-selling and CANON Cybersecurity Hall of Fame winning CISO Compass: Navigating Cybersecurity Leadership Challenges with Insights from Pioneers book provided actionable advice to Chief Information Security Officers, The Privacy Leader Compass is about straight talk – delivering a comprehensive privacy roadmap applied to, and organized by, a time-tested organizational effectiveness model (the McKinsey 7-S Framework) with practical, insightful stories and lessons learned. You own your continued success as a privacy leader. If you want a roadmap to build, lead, and sustain a program respected and supported by your board, management, organization, and peers, this book is for you.
Privacy Online
by Sabine Trepte Leonard ReineckeCommunications and personal information that are posted online are usually accessible to a vast number of people. Yet when personal data exist online, they may be searched, reproduced and mined by advertisers, merchants, service providers or even stalkers. Many users know what may happen to their information, while at the same time they act as though their data are private or intimate. They expect their privacy will not be infringed while they willingly share personal information with the world via social network sites, blogs, and in online communities. The chapters collected by Trepte and Reinecke address questions arising from this disparity that has often been referred to as the privacy paradox. Works by renowned researchers from various disciplines including psychology, communication, sociology, and information science, offer new theoretical models on the functioning of online intimacy and public accessibility, and propose novel ideas on the how and why of online privacy. The contributing authors offer intriguing solutions for some of the most pressing issues and problems in the field of online privacy. They investigate how users abandon privacy to enhance social capital and to generate different kinds of benefits. They argue that trust and authenticity characterize the uses of social network sites. They explore how privacy needs affect users' virtual identities. Ethical issues of privacy online are discussed as well as its gratifications and users' concerns. The contributors of this volume focus on the privacy needs and behaviors of a variety of different groups of social media users such as young adults, older users, and genders. They also examine privacy in the context of particular online services such as social network sites, mobile internet access, online journalism, blogs, and micro-blogs. In sum, this book offers researchers and students working on issues related to internet communication not only a thorough and up-to-date treatment of online privacy and the social web. It also presents a glimpse of the future by exploring emergent issues concerning new technological applications and by suggesting theory-based research agendas that can guide inquiry beyond the current forms of social technologies.
The Privacy Papers: Managing Technology, Consumer, Employee and Legislative Actions (ISSN)
by Rebecca HeroldToday, more than ever, organizations have to cope with increased concerns regarding privacy issues. These concerns are not limited to consumer fears about how information collected by Web sites will be used or misused. They also involve broader issues, including data collected for direct response marketing, privacy of financial and health records,
Privacy Preservation in Distributed Systems: Algorithms and Applications (Signals and Communication Technology)
by Anqi Zhang Ping Zhao Guanglin ZhangThis book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggregation; Privacy Issues in Indoor Localization; and Privacy-Preserving Offloading in MEC. In Part 1, the book proposes LocMIA, which shifts from membership inference attacks against aggregated location data to a binary classification problem, synthesizing privacy preserving traces by enhancing the plausibility of synthetic traces with social networks. In Part 2, the book highlights Indoor Localization to propose a lightweight scheme that can protect both location privacy and data privacy of LS. In Part 3, it investigates the tradeoff between computation rate and privacy protection for task offloading a multi-user MEC system, and verifies that the proposed load balancing strategy improves the computing service capability of the MEC system. In summary, all the algorithms discussed in this book are of great significance in demonstrating the importance of privacy.