The successes and failures of an industry that claims to protect and promote our online identities What does privacy mean in the digital era? As technology increasingly blurs the boundary between public and private, questions about who controls our data become harder and harder to answer. Our every web view, click, and online purchase can be sold to anyone to store and use as they wish. At the same time, our online reputation has become an important part of our identity-a form of cultural currency. The Identity Trade examines the relationship between online visibility and privacy, and the politics of identity and self-presentation in the digital age. In doing so, Nora Draper looks at the revealing two-decade history of efforts by the consumer privacy industry to give individuals control over their digital image through the sale of privacy protection and reputation management as a service. Through in-depth interviews with industry experts, as well as analysis of media coverage, promotional materials, and government policies, Draper examines how companies have turned the protection and promotion of digital information into a business. Along the way, she also provides insight into how these companies have responded to and shaped the ways we think about image and reputation in the digital age. Tracking the successes and failures of companies claiming to control our digital ephemera, Draper takes us inside an industry that has commodified strategies of information control. This book is a discerning overview of the debate around who controls our data, who buys and sells it, and the consequences of treating privacy as a consumer good.

In this examination of how the rise of online sharing economy platforms has facilitated online crime, this book shows how, while marketed as trustworthy peer-to-peer services, these platforms are highly vulnerable to misuse by scammers and are used for the dissemination of delusive speech.

The analysis centres around the concept of delusive speech, a sub-set of disinformation, designed to deceive and motivate by criminal intent. Looking beyond the economic and disruptive impacts of sharing economy platforms like Uber, Airbnb, and others, this book situates these Big Tech giants as mass communication channels that are frequently misused by bad actors to distribute dangerous content globally. Drawing from over 600 cases of victims lured into scams or physical danger via misleading Airbnb listings, the book provides a detailed case study exposing Airbnb's failure to establish legitimate safety measures despite branding its platform as a 'community of trust'. Incorporating netnography and thematic analysis, the author theorises the deceptive semiotic structure of delusive speech and evaluates practical mechanisms Airbnb could employ to prevent scams and crime on its platform.

With a global audience including researchers in communication and media studies, digital media, and media industries, as well as tech journalists, Silicon Valley critics, policymakers, and digital rights advocates, this book unmasks how sharing economy giants like Airbnb contribute to an epidemic of online deception causing real-world harm.

This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology. The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics including: deep learning; artificial intelligence; applications of game theory; mixed modality learning; and multi-agent reinforcement learning. Practicing engineers and scholars in the field of machine learning, game theory, and autonomous control will find the Handbook of Reinforcement Learning and Control to be thought-provoking, instructive and informative.

It was an honor and a privilege to chair the 24th IFIP International Information Se- rity Conference (SEC 2009), a 24-year-old event that has become a tradition for - formation security professionals around the world. SEC 2009 was organized by the Technical Committee 11 (TC-11) of IFIP, and took place in Pafos, Cyprus, during May 18-20, 2009. It is an indication of good fortune for a Chair to serve a conference that takes place in a country with the natural beauty of Cyprus, an island where the hospitality and frie- liness of the people have been going together, hand-in-hand, with its long history. This volume contains the papers selected for presentation at SEC 2009. In response to the call for papers, 176 papers were submitted to the conference. All of them were evaluated on the basis of their novelty and technical quality, and reviewed by at least two members of the conference Program Committee. Of the papers submitted, 39 were selected for presentation at the conference; the acceptance rate was as low as 22%, thus making the conference a highly competitive forum. It is the commitment of several people that makes international conferences pos- ble. That also holds true for SEC 2009. The list of people who volunteered their time and energy to help is really long.

With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices. Furthermore, edge computing optimizes the seamless connection from the cloud to devices, which is considered the foundation for realizing the interconnection of everything. However, due to the open features of edge computing, such as content awareness, real-time computing and parallel processing, the existing problems of privacy in the edge computing environment have become more prominent. The access to multiple categories and large numbers of devices in edge computing also creates new privacy issues. In this book, we discuss on the research background and current research process of privacy protection in edge computing. In the first chapter, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge computing. Three categories of privacy preserving schemes will be further introduced in the following chapters. Chapter three introduces the context-aware privacy preserving scheme. Chapter four further introduces a location-aware differential privacy preserving scheme. Chapter five presents a new blockchain based decentralized privacy preserving in edge computing. Chapter six summarize this monograph and propose future research directions. In summary, this book introduces the following techniques in edge computing: 1) describe an MDP-based privacy-preserving model to solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location-aware privacy problems in edge computing; 3) describe a novel blockchain based decentralized privacy-preserving scheme in edge computing. These techniques enable the rapid development of privacy-preserving in edge computing.

Companies are spending billions on machine learning projects, but it's money wasted if the models can't be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You'll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques

This book extends the work from introduction of ubiquitous computing, to the Internet of things to security and to privacy aspects of ubiquitous computing. The uniqueness of this book is the combination of important fields like the Internet of things and ubiquitous computing. It assumes that the readers' goal is to achieve a complete understanding of IoT, smart computing, security issues, challenges and possible solutions. It is not oriented towards any specific use cases and security issues; privacy threats in ubiquitous computing problems are discussed across various domains. This book is motivating to address privacy threats in new inventions for a wide range of stakeholders like layman to educated users, villages to metros and national to global levels. This book contains numerous examples, case studies, technical descriptions, scenarios, procedures, algorithms and protocols. The main endeavour of this book is threat analysis and activity modelling of attacks in order to give an actual view of the ubiquitous computing applications. The unique approach will help readers for a better understanding.

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.

Privacy and data protection are now important issues for companies across the financial services industry. Financial records are amongst the most sensitive for many consumers and the regulator is keen to promote good data handling practices in an industry that is looking towards increased customer profiling, for both risk management and opportunity spotting. Mandy Webster's Data Protection in the Financial Services Industry explains how to manage privacy and data protection issues throughout the customer cycle; from making contact to seeking additional business from current customers. She also looks at the precise role of the Financial Services Authority and its response to compliance or non-compliance. Each of the Eight Principles of the Data Protection Act are reviewed and explained.

A collection of popular essays from security guru Bruce Schneier In his latest collection of essays, security expert Bruce Schneier tackles a range of cybersecurity, privacy, and real-world security issues ripped from the headlines. Essays cover the ever-expanding role of technology in national security, war, transportation, the Internet of Things, elections, and more. Throughout, he challenges the status quo with a call for leaders, voters, and consumers to make better security and privacy decisions and investments. Bruce's writing has previously appeared in some of the world's best-known and most-respected publications, including The Atlantic, the Wall Street Journal, CNN, the New York Times, the Washington Post, Wired, and many others. And now you can enjoy his essays in one place--at your own speed and convenience. Timely security and privacy topics The impact of security and privacy on our world Perfect for fans of Bruce's blog and newsletter Lower price than his previous essay collections The essays are written for anyone who cares about the future and implications of security and privacy for society.

We have created the ultimate hive-mind robot: an Internet of interconnected devices that senses, thinks and acts. Bruce Schneier calls it the "World-Sized Web". It includes everything from driverless cars to smart thermostats, from billboards that respond to specific people to drones equipped with their own behavioural algorithms. While the World-Sized Web carries enormous potential, Schneier argues that we are unprepared for the vulnerabilities it brings. Cutting-edge digital attackers can now crash your car, pacemaker and home security system and everyone else's. Click Here to Kill Everybody explores the risks and security implications of the World-Sized Web and lays out common-sense policies that will allow us to enjoy the benefits of this new omnipotent age without surrendering ourselves entirely to our creation.

The Future of Open Data flows from a multi-year Social Sciences and Humanities Research Council (SSHRC) Partnership Grant project that set out to explore open government geospatial data from an interdisciplinary perspective. Researchers on the grant adopted a critical social science perspective grounded in the imperative that the research should be relevant to government and civil society partners in the field. This book builds on the knowledge developed during the course of the grant and asks the question, "What is the future of open data?" The contributors' insights into the future of open data combine observations from five years of research about the Canadian open data community with a critical perspective on what could and should happen as open data efforts evolve. Each of the chapters in this book addresses different issues and each is grounded in distinct disciplinary or interdisciplinary perspectives. The opening chapter reflects on the origins of open data in Canada and how it has progressed to the present date, taking into account how the Indigenous data sovereignty movement intersects with open data. A series of chapters address some of the pitfalls and opportunities of open data and consider how the changing data context may impact sources of open data, limits on open data, and even liability for open data. Another group of chapters considers new landscapes for open data, including open data in the global South, the data priorities of local governments, and the emerging context for rural open data.

This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter privacy attacks. Some well-designed differential privacy algorithms are also included in this book. Driven by lower cost, higher reliability, better performance, and faster deployment, data and computing services are increasingly outsourced to clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy sensitive computation with parties that again cannot fully trust. For both scenarios, preserving data privacy and computation privacy is extremely important. After the Facebook-Cambridge Analytical data scandal and the implementation of the General Data Protection Regulation by European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world. This book targets database engineers, cloud computing engineers and researchers working in this field. Advanced-level students studying computer science and electrical engineering will also find this book useful as a reference or secondary text.

Tools and technologies have long complemented and extended our physical abilities: from pre-historic spearheads to steam-propelled ploughs and high-tech prosthetics. While the development of lenses granted us insights into the micro and macrocosms, new sensors and technologies increasingly augment our cognitive abilities, including memory and perception. This book integrates current research efforts, results, and visions from the fields of computer science, neuroscience, and psychology. It provides a comprehensive overview of the state-of-the-art and future applications of how technologies assist and augment human perception and cognition. Experts in the field share their research and findings on: Working memory enhancements Digitization of memories through lifelog archives The consequences of technology-induced disruptions and forgetting The creation and utilization of new human senses Ethical and security concerns that arise with augmentation technologies. As technology weaves itself ever deeper into our lives, careful examination of its capabilities, risks and benefits is warranted. While this book focuses on the complementation and augmentation of human capabilities, it serves as a foundation for students, researchers and designers of technologies that push the boundaries of perception and cognition.

This book provides the state-of-the-art development on security and privacy for fog/edge computing, together with their system architectural support and applications. This book is organized into five parts with a total of 15 chapters. Each area corresponds to an important snapshot. The first part of this book presents an overview of fog/edge computing, focusing on its relationship with cloud technology and the future with the use of 5G communication. Several applications of edge computing are discussed. The second part of this book considers several security issues in fog/edge computing, including the secure storage and search services, collaborative intrusion detection method on IoT-fog computing, and the feasibility of deploying Byzantine agreement protocols in untrusted environments. The third part of this book studies the privacy issues in fog/edge computing. It first investigates the unique privacy challenges in fog/edge computing, and then discusses a privacy-preserving framework for the edge-based video analysis, a popular machine learning application on fog/edge. This book also covers the security architectural design of fog/edge computing, including a comprehensive overview of vulnerabilities in fog/edge computing within multiple architectural levels, the security and intelligent management, the implementation of network-function-virtualization-enabled multicasting in part four. It explains how to use the blockchain to realize security services. The last part of this book surveys applications of fog/edge computing, including the fog/edge computing in Industrial IoT, edge-based augmented reality, data streaming in fog/edge computing, and the blockchain-based application for edge-IoT. This book is designed for academics, researchers and government officials, working in the field of fog/edge computing and cloud computing. Practitioners, and business organizations (e.g., executives, system designers, and marketing professionals), who conduct teaching, research, decision making, and designing fog/edge technology will also benefit from this book The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, and information systems, but also applies to students in business, education, and economics, who would benefit from the information, models, and case studies therein.

This book revises the strategic objectives of Information Warfare, interpreting them according to the modern canons of information age, focusing on the fabric of society, the economy, and critical Infrastructures. The authors build plausible detailed real-world scenarios for each entity, showing the related possible threats from the Information Warfare point of view. In addition, the authors dive into the description of the still open problems, especially when it comes to critical infrastructures, and the countermeasures that can be implemented, possibly inspiring further research in the domain. This book intends to provide a conceptual framework and a methodological guide, enriched with vivid and compelling use cases for the readers (e.g. technologists, academicians, military, government) interested in what Information Warfare really means, when its lenses are applied to current technology. Without sacrificing accuracy, rigor and, most importantly, the big picture of Information Warfare, this book dives into several relevant and up-to-date critical domains. The authors illustrate how finance (an always green target of Information Warfare) is intertwined with Social Media, and how an opponent could exploit these latter ones to reach its objectives. Also, how cryptocurrencies are going to reshape the economy, and the risks involved by this paradigm shift. Even more compelling is how the very fabric of society is going to be reshaped by technology, for instance how our democratic elections are exposed to risks that are even greater than what appears in the current public discussions. Not to mention how our Critical Infrastructure is becoming exposed to a series of novel threats, ranging from state-supported malware to drones. A detailed discussion of possible countermeasures and what the open issues are for each of the highlighted threats complete this book. This book targets a widespread audience that includes researchers and advanced level students studying and working in computer science with a focus on security. Military officers, government officials and professionals working in this field will also find this book useful as a reference.

For a one-semester undergraduate-level course in Cryptology, Mathematics, or Computer Science.

Designed for either the intelligent freshman (good at math) or for a low-level junior year first course, Cryptology introduces a wide range of up-to-date cryptological concepts along with the mathematical ideas that are behind them. The new and old are organized around a historical framework. A variety of mathematical topics that are germane to cryptology (e.g., modular arithmetic, Boolean functions, complexity theory, etc.) are developed, but they do not overshadow the main focus of the text. Unlike other texts in this field, Cryptology brings students directly to concepts of classical substitutions and transpositions and issues in modern cryptographic methods.

Research Methods for Cyber Security teaches scientific methods for generating impactful knowledge, validating theories, and adding critical rigor to the cyber security field. This book shows how to develop a research plan, beginning by starting research with a question, then offers an introduction to the broad range of useful research methods for cyber security research: observational, mathematical, experimental, and applied. Each research method chapter concludes with recommended outlines and suggested templates for submission to peer reviewed venues. This book concludes with information on cross-cutting issues within cyber security research. Cyber security research contends with numerous unique issues, such as an extremely fast environment evolution, adversarial behavior, and the merging of natural and social science phenomena. Research Methods for Cyber Security addresses these concerns and much more by teaching readers not only the process of science in the context of cyber security research, but providing assistance in execution of research as well.

Security is the number one concern for businesses worldwide. The gold standard for attaining security is cryptography because it provides the most reliable tools for storing or transmitting digital information. Written by Niels Ferguson, lead cryptographer for Counterpane, Bruce Schneier's security company, and Bruce Schneier himself, this is the much anticipated follow-up book to Schneier's seminal encyclopedic reference, Applied Cryptography, Second Edition (0-471-11709-9), which has sold more than 150,000 copies.
Niels Ferguson (Amsterdam, Netherlands) is a cryptographic engineer and consultant at Counterpane Internet Security. He has extensive experience in the creation and design of security algorithms, protocols, and multinational security infrastructures. Previously, Ferguson was a cryptographer for DigiCash and CWI. At CWI he developed the first generation of off-line payment protocols. He has published numerous scientific papers.
Bruce Schneier (Minneapolis, MN) is Founder and Chief Technical Officer at Counterpane Internet Security, a managed-security monitoring company. He is also the author of Secrets and Lies: Digital Security in a Networked World (0-471-25311-1).

This book outlines the legal powers of a major Western nation - Australia - to collect and use location information. Mobile service and social media service providers now have the ability to track, record and store more precise location information. Unlike 4G, 5G mobile communications require that cell towers and antennas be in much closer proximity; as a result, the location data can reveal more personal and sensitive information about individual citizens. Despite this aspect, service providers are required to disclose the data to the authorities, without the need for a judicial warrant. This book was written from the perspective of big location data software analytics, a capability that makes it possible to combine various location data points to create a profile on a given individual's movements, habits, and political, religious and ideological orientation. In this regard, privacy is poorly protected. The rationale used to justify the powers was enforcing serious crimes - terrorism offences. Location data can now be retained for at least two years and be collected to investigate even minor offences. This can be done without the person being reasonably suspected of a criminal offence - when the individual is simply determined to be a person of interest. This poses legal risks to vulnerable communities. And yet, such investigative techniques are deemed lawful and reasonable. At a time when national security is so broadly defined to include economic issues, which in turn overlap with climate change and environmental protection, these legal powers should be reassessed. The book clarifies the complex rules that every citizen must know in order to have agency. Further, it calls upon authorities to reflect and to self-regulate, by making the conscious decision to surrender some of their powers to review by the independent judiciary. Without the requirement for a judicial warrant or judicial review, the powers are unfairly broad. The book pursues an interdisciplinary approach to assess the functionality of mobile telecommunications in direct relation to law enforcement powers and existing judicial precedents. Further, it offers a unifying techno-legal perspective on a complex issue touching on modern privacy law and communications technologies.

According to the FBI, about 4000 ransomware attacks happen every day. In the United States alone, victims lost $209 million to ransomware in the first quarter of 2016. Even worse is the threat to critical infrastructure, as seen by the malware infections at electrical distribution companies in Ukraine that caused outages to 225,000 customers in late 2015. Further, recent reports on the Russian hacks into the Democratic National Committee and subsequent release of emails in a coercive campaign to apparently influence the U.S. Presidential Election have brought national attention to the inadequacy of cyber deterrence. The U.S. government seems incapable of creating an adequate strategy to alter the behavior of the wide variety of malicious actors seeking to inflict harm or damage through cyberspace. This book offers a systematic analysis of the various existing strategic cyber deterrence options and introduces the alternative strategy of active cyber defense. It examines the array of malicious actors operating in the domain, their methods of attack, and their motivations. It also provides answers on what is being done, and what could be done, by the government and industry to convince malicious actors that their attacks will not succeed and that risk of repercussions exists. Traditional deterrence strategies of retaliation, denial and entanglement appear to lack the necessary conditions of capability, credibly, and communications due to these malicious actors' advantages in cyberspace. In response, the book offers the option of adopting a strategy of active cyber defense that combines internal systemic resilience to halt cyber attack progress with external disruption capacities to thwart malicious actors' objectives. It shows how active cyber defense is technically capable and legally viable as an alternative strategy for the deterrence of cyber attacks.

This book features selected research papers presented at the Second International Conference on Computing, Communications, and Cyber-Security (IC4S 2020), organized in Krishna Engineering College (KEC), Ghaziabad, India, along with Academic Associates; Southern Federal University, Russia; IAC Educational, India; and ITS Mohan Nagar, Ghaziabad, India during 3-4 October 2020. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.

DNS Security: Defending the Domain Name System provides tactics on how to protect a Domain Name System (DNS) framework by exploring common DNS vulnerabilities, studying different attack vectors, and providing necessary information for securing DNS infrastructure. The book is a timely reference as DNS is an integral part of the Internet that is involved in almost every attack against a network. The book focuses entirely on the security aspects of DNS, covering common attacks against DNS servers and the protocol itself, as well as ways to use DNS to turn the tables on the attackers and stop an incident before it even starts.

Much as Che Guevara's book Guerilla Warfare helped define and delineate a new type of warfare in the wake of the Cuban revolution in 1961, Cyber Guerilla will help define the new types of threats and fighters now appearing in the digital landscape. Cyber Guerilla provides valuable insight for infosec professionals and consultants, as well as government, military, and corporate IT strategists who must defend against myriad threats from non-state actors. The authors take readers inside the operations and tactics of cyber guerillas, who are changing the dynamics of cyber warfare and information security through their unconventional strategies and threats. This book draws lessons from the authors' own experiences but also from illustrative hacker groups such as Anonymous, LulzSec and Rebellious Rose.

News headlines about privacy invasions, discrimination, and biases discovered in the platforms of big technology companies are commonplace today, and big tech's reluctance to disclose how they operate counteracts ideals of transparency, openness, and accountability. This book is for computer science students and researchers who want to study big tech's corporate surveillance from an experimental, empirical, or quantitative point of view and thereby contribute to holding big tech accountable. As a comprehensive technical resource, it guides readers through the corporate surveillance landscape and describes in detail how corporate surveillance works, how it can be studied experimentally, and what existing studies have found. It provides a thorough foundation in the necessary research methods and tools, and introduces the current research landscape along with a wide range of open issues and challenges. The book also explains how to consider ethical issues and how to turn research results into real-world change.