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Privacy and Data Protection Challenges in the Distributed Era (Learning and Analytics in Intelligent Systems #26)
by Eugenia Politou Efthimios Alepis Maria Virvou Constantinos PatsakisThis 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.
Privacy and Data Protection in Software Services (Services and Business Process Reengineering)
by Roberto Senigaglia Claudia Irti Alessandro BernesThe aim of the book is to create a bridge between two ‘lands’ that are usually kept separate: technical tools and legal rules should be bound together for moulding a special ‘toolbox’ to solve present and future issues. The volume is intended to contribute to this ‘toolbox’ in the area of software services, while addressing how to make legal studies work closely with engineers’ and computer scientists’ fields of expertise, who are increasingly involved in tangled choices on daily programming and software development. In this respect, law has not lost its importance and its own categories in the digital world, but as well as any social science needs to experience a new realistic approach amid technological development and individuals’ fundamental rights and freedoms.
Privacy and Data Protection Seals (Information Technology and Law Series #28)
by Rowena Rodrigues Vagelis PapakonstantinouThe book presents timely and needed contributions on privacy and data protection seals as seen from general, legal, policy, economic, technological, and societal perspectives. It covers data protection certification in the EU (i.e., the possibilities, actors and building blocks); the Schleswig-Holstein Data Protection Seal; the French Privacy Seal Scheme; privacy seals in the USA, Europe, Japan, Canada, India and Australia; controversies, challenges and lessons for privacy seals; the potential for privacy seals in emerging technologies; and an economic analysis. This book is particularly relevant in the EU context, given the General Data Protection Regulation (GDPR) impetus to data protection certification mechanisms and the dedication of specific provisions to certification. Its coverage of practices in jurisdictions outside the EU also makes it relevant globally. This book will appeal to European legislators and policy-makers, privacy and data protection practitioners, certification bodies, international organisations, and academics.Rowena Rodrigues is a Senior Research Analyst with Trilateral Research Ltd. in London and Vagelis Papakonstantinou is a Senior Researcher at the Vrije Universiteit Brussel in Brussels.
Privacy and Healthcare Data: 'Choice of Control' to 'Choice' and 'Control'
by Christina Munns Subhajit BasuIn order for the information society to realise its full potential, personal data has to be disclosed, used and often shared. This book explores the disclosure and sharing of data within the area of healthcare. Including an overview of how health information is currently managed, the authors argue that with changes in modern society, the idea of personal relationships with a local GP who solely holds and controls your health records is becoming rapidly outdated. The authors aim to encourage and empower patients to make informed choices about sharing their health data. They do this by developing a three-stage theoretical model for change to the roles of the NHS and the individual. The study generates debate to stimulate and inspire new models and policy, and to provoke new visions for the sharing of healthcare data. Such discussion is framed through an exploration of the changing concept of 'privacy' and 'patient control' in healthcare information management. The volume draws on best practices from Europe and the USA and combines these to form a suggested vision for the UK as an early adopter of change. The volume will be essential reading for academics in the field of privacy and data protection, as well as healthcare and informatics professionals across different jurisdictions.
Privacy and Security Challenges in Cloud Computing: A Holistic Approach (Cognitive Approaches in Cloud and Edge Computing.)
by T. Ananth KumarThis reference text discusses various security techniques and challenges for cloud data protection from both software and hardware aspects. The text provides readers with an overview of cloud computing, beginning with historical perspectives on mainframe computers and early networking protocols, moving to current issues such as security of hardware and networks, performance, evolving IoT areas, edge computing, etc. It also deals with threat detection and incident response in cloud security. It covers important topics including operational security agitations in cloud computing, cyber artificial intelligence (AI) platform for cloud security, and security concerns of virtualization in cloud computing. The book will serve as a useful resource for graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology.
Privacy and Security for Mobile Crowdsourcing (River Publishers Series in Digital Security and Forensics)
by Shabnam SodagariThis 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.
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 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-Enhancing Aggregation Techniques for Smart Grid Communications
by Rongxing LuThis book provides an overview of security and privacy issues in smart grid communications, as well as the challenges in addressing these issues. It also introduces several privacy enhancing aggregation techniques including multidimensional data aggregation, subset data aggregation, multifunctional data aggregation, data aggregation with fault tolerance, data aggregation with differential privacy, and data aggregation with integrity protection. Offering a comprehensive exploration of various privacy preserving data aggregation techniques, this book is an exceptional resource for the academics, researchers, and graduate students seeking to exploit secure data aggregation techniques in smart grid communications and Internet of Things (IoT) scenarios.
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 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.
The Privacy Mission: Achieving Ethical Data for Our Lives Online
by Annie MachonFuture-proof yourself and your organization against known threats to privacy and online safety The subject of data ethics has never been more urgent. This is no longer an academic or niche geek issue as it has been since the inception of the internet and the world wide web. Data ethics is an issue that affects all of us now as our personal and professional lives increasingly take place online. Who controls access to the hardware, who runs the software, who can spy on us, hack us, data farm us? What are the threats that we need to mitigate against democratically, societally, and personally? How can corporations protect us and how can that help their bottom line?The Privacy Mission aims to answer these questions and summarise both the overarching concepts and principles about why data ethics is important. It offers practical solutions for companies, policy makers and individuals to push back against known threats and future proof themselves going forward.
Privacy on the Line, updated and expanded edition: The Politics of Wiretapping and Encryption
by Whitfield Diffie Susan LandauA penetrating and insightful study of privacy and security in telecommunications for a post-9/11, post-Patriot Act world.Telecommunication has never been perfectly secure. The Cold War culture of recording devices in telephone receivers and bugged embassy offices has been succeeded by a post-9/11 world of NSA wiretaps and demands for data retention. Although the 1990s battle for individual and commercial freedom to use cryptography was won, growth in the use of cryptography has been slow. Meanwhile, regulations requiring that the computer and communication industries build spying into their systems for government convenience have increased rapidly. The application of the 1994 Communications Assistance for Law Enforcement Act has expanded beyond the intent of Congress to apply to voice over Internet Protocol (VoIP) and other modern data services; attempts are being made to require ISPs to retain their data for years in case the government wants it; and data mining techniques developed for commercial marketing applications are being applied to widespread surveillance of the population.In Privacy on the Line, Whitfield Diffie and Susan Landau strip away the hype surrounding the policy debate over privacy to examine the national security, law enforcement, commercial, and civil liberties issues. They discuss the social function of privacy, how it underlies a democratic society, and what happens when it is lost. This updated and expanded edition revises their original—and prescient—discussions of both policy and technology in light of recent controversies over NSA spying and other government threats to communications privacy.
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.
Privacy Preservation in IoT: A Comprehensive Survey and Use Cases (SpringerBriefs in Computer Science)
by Youyang Qu Longxiang Gao Shui Yu Yong XiangThis book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner. The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions. Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.
Privacy-Preserving Techniques with e-Healthcare Applications (Wireless Networks)
by Dan Zhu Dengguo Feng Xuemin (Sherman) ShenThis book investigates novel accurate and efficient privacy-preserving techniques and their applications in e-Healthcare services. The authors first provide an overview and a general architecture of e-Healthcare and delve into discussions on various applications within the e-Healthcare domain. Simultaneously, they analyze the privacy challenges in e-Healthcare services. Then, in Chapter 2, the authors give a comprehensive review of privacy-preserving and machine learning techniques applied in their proposed solutions. Specifically, Chapter 3 presents an efficient and privacy-preserving similar patient query scheme over high-dimensional and non-aligned genomic data; Chapter 4 and Chapter 5 respectively propose an accurate and privacy-preserving similar image retrieval scheme and medical pre-diagnosis scheme over dimension-related medical images and single-label medical records; Chapter 6 presents an efficient and privacy-preserving multi-disease simultaneous diagnosis scheme over medical records with multiple labels. Finally, the authors conclude the monograph and discuss future research directions of privacy-preserving e-Healthcare services in Chapter 7.
Privacy, Security And Forensics in The Internet of Things (IoT)
by Ian Mitchell Reza Montasari Fiona Carroll Sukhvinder Hara Rachel Bolton-KingThis book provides the most recent security, privacy, technical and legal challenges in the IoT environments. This book offers a wide range of theoretical and technical solutions to address these challenges. Topics covered in this book include; IoT, privacy, ethics and security, the use of machine learning algorithms in classifying malicious websites, investigation of cases involving cryptocurrency, the challenges police and law enforcement face in policing cyberspace, the use of the IoT in modern terrorism and violent extremism, the challenges of the IoT in view of industrial control systems, and the impact of social media platforms on radicalisation to terrorism and violent extremism.This book also focuses on the ethical design of the IoT and the large volumes of data being collected and processed in an attempt to understand individuals’ perceptions of data and trust. A particular emphasis is placed on data ownership and perceived rights online. It examines cyber security challenges associated with the IoT, by making use of Industrial Control Systems, using an example with practical real-time considerations. Furthermore, this book compares and analyses different machine learning techniques, i.e., Gaussian Process Classification, Decision Tree Classification, and Support Vector Classification, based on their ability to learn and detect the attributes of malicious web applications. The data is subjected to multiple steps of pre-processing including; data formatting, missing value replacement, scaling and principal component analysis. This book has a multidisciplinary approach. Researchers working within security, privacy, technical and legal challenges in the IoT environments and advanced-level students majoring in computer science will find this book useful as a reference. Professionals working within this related field will also want to purchase this book.
Privacy Symposium 2022: Data Protection Law International Convergence and Compliance with Innovative Technologies (DPLICIT)
by Stefan Schiffner Sebastien Ziegler Adrian Quesada RodriguezThis book presents a collection of high-quality research works and professional perspectives arising from the call for papers of the Privacy Symposium 2022; an international conference aimed towards the promotion of international dialogue, cooperation and knowledge sharing on data protection regulations, compliance and emerging technologies. Gathering legal and technology expertise, this publication provides cutting-edge perspectives on the convergence of international data protection regulations, as well as data protection compliance of emerging technologies, such as: Artificial Intelligence, e-health, blockchain, edge computing, Internet of things, V2X and Smart Grids. It includes selected papers from the Privacy Symposium conference 2022 (PSC 2022) call for papers, encompassing relevant topics, including: international law and comparative law in data protection cross-border data transfers emerging technologies and data protection compliance data protection by design technologic solutions for data protection compliance data protection good practices across industries and verticals cybersecurity and data protection assessment and certification of data protection compliance, and data subject rights implementation This publication includes papers authored by academics and professionals involved on various areas of data protection, technical, legal and compliance services.Chapter 10 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com
Privacy Symposium 2023: Data Protection Law International Convergence and Compliance with Innovative Technologies (DPLICIT)
by Stefan Schiffner Sébastien Ziegler Meiko JensenThis book presents the proceedings of the Privacy Symposium 2023. the book features a collection of high-quality research works and professional perspectives on personal data protection and emerging technologies. Gathering legal and technology expertise, it provides cutting-edge perspective on international data protection regulations convergence, as well as data protection compliance of emerging technologies, such as artificial intelligence, e-health, blockchain, edge computing, Internet of Things, V2X and smart grid. Papers encompass various topics, including international law and comparative law in data protection and compliance, cross-border data transfer, emerging technologies and data protection compliance, data protection by design, technology for compliance and data protection, data protection good practices across industries and verticals, cybersecurity and data protection, assessment and certification of data protection compliance, and data subject rights implementation.
Privacy Symposium 2024: Data Protection Law International Convergence and Compliance with Innovative Technologies (DPLICIT)
by Jaap-Henk Hoepman Meiko Jensen Maria Grazia Porcedda Stefan Schiffner Sébastien ZieglerThis book presents the proceedings of the Privacy Symposium 2024. The book features a collection of high-quality research works and professional perspectives on personal data protection and emerging technologies. Gathering legal and technology expertise, it provides cutting-edge perspective on international data protection regulations convergence, as well as data protection compliance of emerging technologies, such as artificial intelligence, e-health, blockchain, edge computing, Internet of Things, V2X, and smart grid. Papers encompass various topics, including international law and comparative law in data protection and compliance, cross-border data transfer, emerging technologies and data protection compliance, data protection by design, technology for compliance and data protection, data protection good practices across industries and verticals, cybersecurity and data protection, assessment and certification of data protection compliance, and data subject rights implementation.
Privacy Vulnerabilities and Data Security Challenges in the IoT (Internet of Everything (IoE))
by Shivani Agarwal, Sandhya Makkar, and Duc-Tan TranThis book discusses the evolution of security and privacy issues in the Internet of Things (IoT). The book focuses on assembling all security- and privacy-related technologies into a single source so that students, researchers, academics, and those in the industry can easily understand the IoT security and privacy issues. This edited book discusses the use of security engineering and privacy-by-design principles to design a secure IoT ecosystem and to implement cyber-security solutions. This book takes the readers on a journey that begins with understanding security issues in IoT-enabled technologies and how these can be applied in various sectors. It walks readers through engaging with security challenges and building a safe infrastructure for IoT devices. The book helps researchers and practitioners understand the security architecture of IoT and the state-of-the-art in IoT countermeasures. It also differentiates security threats in IoT-enabled infrastructure from traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on the security challenges and solutions in RFID and WSNs in IoT. This book aims to highlight the concepts of related technologies and novel findings by researchers through its chapter organization. The primary audience comprises specialists, researchers, graduate students, designers, experts, and engineers undertaking research on security-related issues.
Private Intelligence Services: Ein Leitfaden zum Umgang im Zeitalter der Digitalisierung
by Stefan EmbacherDie Einführung des Buches legt den Grundstein für die nachfolgenden Kapitel, indem sie die Definitionen und Grundlagen der Wirtschaftskriminalität klärt und ein solides Verständnis für die Dimensionen und die Tragweite dieser Herausforderung schafft. Sie legt dar, wie Wirtschaftskriminalität nicht nur finanzielle Verluste verursacht, sondern auch das Vertrauen in Märkte und Institutionen untergräbt, was weitreichende soziale und wirtschaftliche Konsequenzen nach sich zieht. Im ersten Kapitel wird die Zusammenarbeit zwischen privaten Intelligence-Unternehmen und staatlichen Behörden beleuchtet. Es werden Fallstudien und Beispiele präsentiert, die demonstrieren, wie eine erfolgreiche Partnerschaft aussehen kann, und welche Herausforderungen und Spannungsfelder dabei auftreten können. Das Kapitel unterstreicht die Bedeutung von Vertrauen, Transparenz und gegenseitigem Respekt für den Erfolg dieser Kooperationen. Das zweite Kapitel widmet sich den spezifischen Herausforderungen und Anforderungen, die verschiedene Branchen und Sektoren an private Intelligence-Unternehmen stellen. Es wird detailliert aufgezeigt, wie unterschiedlich die Bedürfnisse von Unternehmen, je nach Größe, Branche und geografischer Lage sein können, und wie maßgeschneiderte Lösungen aussehen können. Es wird deutlich, dass eine tiefgehende Branchenkenntnis und Spezialisierung essentiell sind, um effektive Dienstleistungen zu bieten. Das dritte Kapitel ist in mehrere Unterkapitel gegliedert und deckt ein breites Spektrum an Themen ab, darunter die besonderen Anforderungen bestimmter Zielgruppen, Methoden und Techniken zur Sicherung von Vermögenswerten und Informationen, sowie praxisnahe Fallbeispiele und Best Practices. Hier wird auch aufgezeigt, wie Unternehmen wie Foreus als Dienstleister in der Praxis agieren und welche Rolle sie im Gesamtkontext spielen. Das vierte Kapitel setzt sich mit den rechtlichen und ethischen Aspekten von Private Intelligence auseinander. Es werden aktuelle Gesetzgebungen und Rechtsprechungen diskutiert, ethische Dilemmata beleuchtet und klare Empfehlungen und Richtlinien für verantwortungsvolles Handeln präsentiert. Das fünfte Kapitel blickt in die Zukunft und versucht eine Prognose über die nächsten 10 Jahre im Bereich Private Intelligence und Wirtschaftskriminalität abzugeben. Es werden technologische Entwicklungen, Ausbildungs- und Weiterbildungsmöglichkeiten sowie potentielle Herausforderungen und Chancen diskutiert. Das abschließende sechste Kapitel fasst die zentralen Erkenntnisse zusammen, bietet konkrete Handlungsempfehlungen für verschiedene Fachleute und endet mit abschließenden Gedanken und einem Ausblick in die Zukunft.
Private Interests, Public Policy, and American Agriculture
by William P. BrowneFor nearly a decade William P. Browne has studied the major farm organizations, congressional hearings and records related to agricultural issues, and the American Agricultural Movement. But perhaps his richest source of information has been extensive interviews with lobbyists, executives, and grassroots activists during and just after the 1985 farm bill debates. In the course of his research, Browne sought to learn how interest groups behave in deciding their policy priorities and how this behavior actually relates to influence over the desired policy outcomes.
PRIVATE LIVES
by Karen YoungElizabeth Walker has spent most of the past three decades trying to forget the loss of her mother and father, a lonely childhood spent in a series of foster homes and the two baby sisters she hasn't seen in twenty-five years. She values her privacy above everything, and has built a wall around herself that few people have ever climbed.But when her best friend, Gina, risks losing her young daughter to an impersonal court system-the same system that failed Elizabeth many years ago-she vows to fight back. But Elizabeth needs help. She needs the kind of help that a family can give, and she needs Ryan Paxton, the brilliant attorney whose tragic family history is intertwined with her own.As the custody battle turns to something more dangerous-and more deadly-Elizabeth comes face-to-face with a past she has tried to forget and a future she wants to embrace.