Using both a theoretical argumentation and an empirical investigation, this book rationalizes the view that in order to understand people's privacy perceptions and behaviors, a situational perspective needs to be adopted. To this end, the book is divided into three parts. Part I advances the theory of situational privacy and self-disclosure by discussing impacts of new information and communication technologies on traditional theories of privacy and self-disclosure. Based on five basic suppositions, it describes three major processes of the theory: pre-situational privacy regulations processes, situational privacy perception and self-disclosure processes, and post-situational evaluation processes. Next, Part II presents the application of the theory to smartphone-based communication. It first analyses how people choose certain communication environments on their smartphones, how they manipulate them, and how these external factors affect self-disclosure within these environments. It then details a multi-method study conducted to test the derived assumptions and discusses the obtained results. Part III reflects on the overall implications of the theory, summarizes the major findings and lastly considers possible extensions and perspectives on future research. Intended mainly for researchers in privacy and communication studies, the book offers privacy scholars a systematic review of both classic and contemporary theories of privacy and self-disclosure. At the same time, communication scholars benefit from an additional methodological discussion of the mobile experience sampling method, which provides an invaluable approach to measuring situational communication processes.

As information processing continues to move toward an open systems environment, the advantages of authentication and key distribution systems over traditional passwords are becoming more and more evident. In this timely guide for computer scientists, electrical engineers, and networking specialists, author Rolf Oppliger explains and compares the various authentication and key distribution systems available today, including Kerberos, NetSP, SPX, TESS, and SESAME. The book explores the cryptographic techniques used for these systems - and shows how to use them to provide the best security for your network.

Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning. Complex privacy-enhancing technologies are demystified through real world use cases forfacial recognition, cloud data storage, and more. Alongside skills for technical implementation, you'll learn about current and future machine learning privacy challenges and how to adapt technologies to your specific needs. By the time you're done, you'll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. Large-scale scandals such as the Facebook Cambridge Analytic a data breach have made many users wary of sharing sensitive and personal information. Demand has surged among machine learning engineers for privacy-preserving techniques that can keep users private details secure without adversely affecting the performance of models.

By the end of this book, the reader will understand: the difficulties of finding a needle in a haystack; creative solutions to address the problem; unique ways of engineering features and solving the problem of the lack of data (e.g. synthetic data). Additionally, the reader will be able to: avoid mistakes resulting from a lack of understanding; search for appropriate methods of feature engineering; locate the relevant technological solutions within the general context of decision-making.

This book focuses on protection needs and new aspects of personality and data protection rights on the Internet, presenting a comprehensive review that discusses and compares international, European and national (Brazilian, German, Pakistani) perspectives. It deals with overarching questions, such as whether universal minimum standards of privacy protection can be developed or how regional data protection rights can be safeguarded and enforced extraterritorially, given the conditions of the Internet. Furthermore, the book addresses new challenges and novel rights, e. g., data retention and protection against mass surveillance, the right to be forgotten, rights to anonymity, legal issues of the digital estate or rights relating to algorithmic decision-making. Furthermore, the book explores how well-known paradigms, such as liability for personality rights violations or damages, have to be adapted in view of the significant role of intermediaries.

In the 1970s and 1980s West Germany was a pioneer in both the use of the new information technologies for population surveillance and the adoption of privacy protection legislation. During this era of cultural change and political polarization, the expansion, bureaucratization, and computerization of population surveillance disrupted the norms that had governed the exchange and use of personal information in earlier decades and gave rise to a set of distinctly postindustrial social conflicts centered on the use of personal information as a means of social governance in the welfare state. Combining vast archival research with a groundbreaking theoretical analysis, this book gives a definitive account of the politics of personal information in West Germany at the dawn of the information society.

This contributed volume tells the story of the establishment of a cybersecurity awareness framework for organizations, and how it was piloted in two public sector municipal contexts. It presents a clear picture of cybersecurity issues in municipalities and proposes a socio-technical solution for creating cybersecurity awareness, how to build the solution and what the impact is on the municipal contexts. The 9 chapters for this book also provide information regarding the design, the deployment and the evaluation of the technology. This book builds on the success of the European Horizon 2020 research and innovation project CS-AWARE. The research proposes the first cybersecurity situational awareness solution for local public administrations based on an analysis of the context, provides automatic incident detection and visualization, and enables information exchange with relevant national and EU level authorities involved in legislation and network security. Cybersecurity is one of the most challenging security problems for commercial companies, NGOs, governmental institutions as well as individuals. Reaching beyond the technology focused boundaries of classical information technology (IT) security, cybersecurity includes organizational and behavioral aspects of IT systems and that needs to comply to legal and regulatory framework for cybersecurity. While large corporations might have the resources to follow those developments and bring their IT infrastructure and services in line with the requirements, the burden for smaller organizations like local public administrations will be substantial and the required resources might not be available. New and innovative solutions that would help local public administration to ease the burden of being in line with cybersecurity requirements are needed. This book targets researchers working in cybersecurity, computer scientists, social scientists and advanced level students studying computer science and other related disciplines. Cybersecurity professionals as well as professionals working in local government contexts, including policy makers, communication experts and system administrators will also benefit from this book.

Unique selling point: * Gain practical tools to solve complex data privacy and security subjects for different business use cases and types of data. Core audience: * Suited to anyone in a CISOs, CSOs, CPOs, CDOs, CTOs, auditors, consultants, investors, and other people interested in data privacy and security. Place in the market: * Tackles the critical skills needed to succeed in the evolving landscape of regulations and data breaches.

Unique selling point: * Gain practical tools to solve complex data privacy and security subjects for different business use cases and types of data. Core audience: * Suited to anyone in a CISOs, CSOs, CPOs, CDOs, CTOs, auditors, consultants, investors, and other people interested in data privacy and security. Place in the market: * Tackles the critical skills needed to succeed in the evolving landscape of regulations and data breaches.

-a short handbook designed for practical use by business owners to ensure they act in a professional, ethical and informed way around cybersecurity -first resource of its kind for coaches and therapists

The main goal of Internet of Things (IoT) is to make secure, reliable, and fully automated smart environments. However, there are many technological challenges in deploying IoT. This includes connectivity and networking, timeliness, power and energy consumption dependability, security and privacy, compatibility and longevity, and network/protocol standards. Internet of Things and Secure Smart Environments: Successes and Pitfalls provides a comprehensive overview of recent research and open problems in the area of IoT research. Features: Presents cutting edge topics and research in IoT Includes contributions from leading worldwide researchers Focuses on IoT architectures for smart environments Explores security, privacy, and trust Covers data handling and management (accumulation, abstraction, storage, processing, encryption, fast retrieval, security, and privacy) in IoT for smart environments This book covers state-of-the-art problems, presents solutions, and opens research directions for researchers and scholars in both industry and academia.

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.

What if you could peer into the minds of an entire population? What if you could target the weakest with rumours that only they saw?

In 2016, an obscure British military contractor turned the world upside down. Funded by a billionaire on a crusade to start his own far-right insurgency, Cambridge Analytica combined psychological research with private Facebook data to make an invisible weapon with the power to change what voters perceived as real.

The firm was created to launch the then unknown Steve Bannon's ideological assault on America. But as it honed its dark arts in elections from Trinidad to Nigeria, 24-year-old research director Christopher Wylie began to see what he and his colleagues were unleashing.

He had heard the disturbing visions of the investors. He saw what CEO Alexander Nix did behind closed doors. When Britain shocked the world by voting to leave the EU, Wylie realised it was time to expose his old associates. The political crime of the century had just taken place - the weapon had been tested - and nobody knew.

Sheds light on the ability to hack AI and the technology industry's lack of effort to secure vulnerabilities. We are accelerating towards the automated future. But this new future brings new risks. It is no surprise that after years of development and recent breakthroughs, artificial intelligence is rapidly transforming businesses, consumer electronics, and the national security landscape. But like all digital technologies, AI can fail and be left vulnerable to hacking. The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. Today, very few people-including those in influential business and government positions-are aware of the new risks that accompany automated systems. While society hurdles ahead with AI, we are also rushing towards a security and safety nightmare. This book is the first-ever layman's guide to the new world of hacking AI and introduces the field to thousands of readers who should be aware of these risks. From a security perspective, AI is today where the internet was 30 years ago. It is wide open and can be exploited. Readers from leaders to AI enthusiasts and practitioners alike are shown how AI hacking is a real risk to organizations and are provided with a framework to assess such risks, before problems arise.

This book identifies and explains the different national approaches to data protection - the legal regulation of the collection, storage, transmission and use of information concerning identified or identifiable individuals - and determines the extent to which they could be harmonised in the foreseeable future. In recent years, data protection has become a major concern in many countries, as well as at supranational and international levels. In fact, the emergence of computing technologies that allow lower-cost processing of increasing amounts of information, associated with the advent and exponential use of the Internet and other communication networks and the widespread liberalization of the trans-border flow of information have enabled the large-scale collection and processing of personal data, not only for scientific or commercial uses, but also for political uses. A growing number of governmental and private organizations now possess and use data processing in order to determine, predict and influence individual behavior in all fields of human activity. This inevitably entails new risks, from the perspective of individual privacy, but also other fundamental rights, such as the right not to be discriminated against, fair competition between commercial enterprises and the proper functioning of democratic institutions. These phenomena have not been ignored from a legal point of view: at the national, supranational and international levels, an increasing number of regulatory instruments - including the European Union's General Data Protection Regulation applicable as of 25 May 2018 - have been adopted with the purpose of preventing personal data misuse. Nevertheless, distinct national approaches still prevail in this domain, notably those that separate the comprehensive and detailed protective rules adopted in Europe since the 1995 Directive on the processing of personal data from the more fragmented and liberal attitude of American courts and legislators in this respect. In a globalized world, in which personal data can instantly circulate and be used simultaneously in communications networks that are ubiquitous by nature, these different national and regional approaches are a major source of legal conflict.

A Guide to Using the Anonymous Web in Libraries and Information Organizations provides practical guidance to those who are interested in integrating the anonymous web into their services. It will be particularly useful to those seeking to promote enhanced privacy for their patrons. The book begins by explaining, in simple terms, what the anonymous web is, how it works, and its benefits for users. Lund and Beckstrom also explain why they believe access to the anonymous web should be provided in library and information organizations around the world. They describe how to provide access, as well as educate library users on how to utilize the anonymous web and navigate any challenges that might arise during implementation. The authors also encourage the development of library policies that guide appropriate conduct and filter content, where appropriate, in order to deter illegal activity. A Guide to Using the Anonymous Web in Libraries and Information Organizations reminds us that libraries and other information providers have a duty to educate and support their communities, while also preserving privacy. Demonstrating that the anonymous web can help them to fulfil these obligations, this book will be essential reading for library and information professionals working around the world.

The Security Hippie is Barak Engel's second book. As the originator of the "Virtual CISO" (fractional security chief) concept, he has served as security leader in dozens of notable organizations, such as Mulesoft, Stubhub, Amplitude Analytics, and many others. The Security Hippie follows his previous book, Why CISOs Fail, which became a sleeper hit, earning a spot in the Cybercannon project as a leading text on the topic of information security management. In this new book, Barak looks at security purely through the lens of story-telling, sharing many and varied experiences from his long and accomplished career as organizational and thought leader, and visionary in the information security field. Instead of instructing, this book teaches by example, sharing many real situations in the field and actual events from real companies, as well as Barak's related takes and thought processes. An out-of-the-mainstream, counterculture thinker - Hippie - in the world of information security, Barak's rich background and unusual approach to the field come forth in this book in vivid color and detail, allowing the reader to sit back and enjoy these experiences, and perhaps gain insights when faced with similar issues themselves or within their organizations. The author works hard to avoid technical terms as much as possible, and instead focus on the human and behavioral side of security, finding the humor inherent in every anecdote and using it to demystify the field and connect with the reader. Importantly, these are not the stories that made the news; yet they are the ones that happen all the time. If you've ever wondered about the field of information security, but have been intimidated by it, or simply wished for more shared experiences, then The Security Hippie is the perfect way to open that window by accompanying Barak on some of his many travels into the land of security.

Digital Totalitarianism: Algorithms and Society focuses on important challenges to democratic values posed by our computational regimes: policing the freedom of inquiry, risks to the personal autonomy of thought, NeoLiberal management of human creativity, and the collapse of critical thinking with the social media fueled rise of conspiranoia. Digital networks allow for a granularity and pervasiveness of surveillance by government and corporate entities. This creates power asymmetries where each citizen's daily 'data exhaust' can be used for manipulative and controlling ends by powerful institutional actors. This volume explores key erosions in our fundamental human values associated with free societies by covering government surveillance of library-based activities, cognitive enhancement debates, the increasing business orientation of art schools, and the proliferation of conspiracy theories in network media. Scholars and students from many backgrounds, as well as policy makers, journalists and the general reading public will find a multidisciplinary approach to questions of totalitarian tendencies encompassing research from Communication, Rhetoric, Library Sciences, Art and New Media.

Systemic Bias: Algorithms and Society looks at issues of computational bias in the contexts of cultural works, metaphors of magic and mathematics in tech culture, and workplace psychometrics. The output of computational models is directly tied not only to their inputs but to the relationships and assumptions embedded in their model design, many of which are of a social and cultural, rather than physical and mathematical, nature. How do human biases make their way into these data models, and what new strategies have been proposed to overcome bias in computed products? Scholars and students from many backgrounds, as well as policy makers, journalists, and the general reading public will find a multidisciplinary approach to inquiry into algorithmic bias encompassing research from Communication, Art, and New Media.

Democratic Frontiers: Algorithms and Society focuses on digital platforms' effects in societies with respect to key areas such as subjectivity and self-reflection, data and measurement for the common good, public health and accessible datasets, activism in social media and the import/export of AI technologies relative to regime type. Digital technologies develop at a much faster pace relative to our systems of governance which are supposed to embody democratic principles that are comparatively timeless, whether rooted in ancient Greek or Enlightenment ideas of freedom, autonomy and citizenship. Algorithms, computing millions of calculations per second, do not pause to reflect on their operations. Developments in the accumulation of vast private datasets that are used to train automated machine learning algorithms pose new challenges for upholding these values. Social media platforms, while the key driver of today's information disorder, also afford new opportunities for organized social activism. The US and China, presumably at opposite ends of an ideological spectrum, are the main exporters of AI technology to both free and totalitarian societies. These are some of the important topics covered by this volume that examines the democratic stakes for societies with the rapid expansion of these technologies. Scholars and students from many backgrounds as well as policy makers, journalists and the general reading public will find a multidisciplinary approach to issues of democratic values and governance encompassing research from Sociology, Digital Humanities, New Media, Psychology, Communication, International Relations and Economics. Chapter 3 of this book is available for free in PDF format as Open Access from the individual product page at www.routledge.com. It has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license

The Web of Things (WoT) is a concept that describes approaches, programming tools and software architectural systems, which interface networks of real-world objects with the World Wide Web. The book is organized into 11 chapters, each focusing on a unique wireless technological aspect of the Web of Things, and it aims to comprehensively cover each of its various applications, including: A strong emphasis on WoT problems and solutions, identifying the main open issues, innovations and latest technologies behind WoT A blend of theoretical and simulation-based problems for better understanding of the concepts behind WoT Various exemplifying applications in which the use of WoT is very attractive and an inspiration for future applications The book will be useful to researchers, software developers and undergraduate and postgraduate students, as well as practitioners.

Legal Data and Information in Practice provides readers with an understanding of how to facilitate the acquisition, management, and use of legal data in organizations such as libraries, courts, governments, universities, and start-ups. Presenting a synthesis of information about legal data that will furnish readers with a thorough understanding of the topic, the book also explains why it is becoming crucial that data analysis be integrated into decision-making in the legal space. Legal organizations are looking at how to develop data-driven insights for a variety of purposes and it is, as Sutherland shows, vital that they have the necessary skills to facilitate this work. This book will assist in this endeavour by providing an international perspective on the issues affecting access to legal data and clearly describing methods of obtaining and evaluating it. Sutherland also incorporates advice about how to critically approach data analysis. Legal Data and Information in Practice will be essential reading for those in the law library community who are based in English-speaking countries with a common law tradition. The book will also be useful to those with a general interest in legal data, including students, academics engaged in the study of information science and law.