Mitchell and Thompson have compiled the first interdisciplinary study of deception and its manifestations in a variety of animal species. Deception is unique in that it presents detailed explorations of the broadest array of deceptive behavior, ranging from deceptive signaling in fireflies and stomatopods, to false-alarm calling by birds and foxes, to playful manipulating between people and dogs, to deceiving within intimate human relationships. It offers a historical overview of the problem of deception in related fields of animal behavior, philosophical analyses of the meaning and significance of deception in evolutionary and psychological theories, and diverse perspectives on deception--philosophical, ecological, evolutionary, ethological, developmental, psychological, anthropological, and historical. The contributions gathered herein afford scientists the opportunity to discover something about the formal properties of deception, enabling them to explore and evaluate the belief that one set of descriptive and perhaps explanatory structures is suitable for both biological and psychological phenomena.

Upending our perception of employment, a surprising investigation into the mystical nature of our daily toil. Dreamwork is a book about the ideas, dreams, dreads, and ideals we have about work. Its central argument is this: Although we depend on the idea of work for our identity as humans, we feel we must disguise from ourselves the fact that we do not know what work is. There is no example of work that nobody might, under some circumstances, do for fun. All work is imaginary—which is not to say that it is simply illusory, but rather that, to count as work, it must be imagined to be work. In other words, a large part of what we mean by working is this work of imagining. Work is therefore essentially mystical—just the opposite of what it is taken to be by all of us spending our days at desks, behind cash registers, and in factories. Delving into this complex mythos, Dreamwork looks in turn at worries about whether or not work is hard; the importance of places of work; the meanings of hobbies, holidays, and sabbaths; and the history of dreams of redeeming work.

This edited volume features a wide spectrum of the latest computer science research relating to cyber deception. Specifically, it features work from the areas of artificial intelligence, game theory, programming languages, graph theory, and more. The work presented in this book highlights the complex and multi-facted aspects of cyber deception, identifies the new scientific problems that will emerge in the domain as a result of the complexity, and presents novel approaches to these problems. This book can be used as a text for a graduate-level survey/seminar course on cutting-edge computer science research relating to cyber-security, or as a supplemental text for a regular graduate-level course on cyber-security.

Turnabout and Deception combines two of spymaster Barton Whaley's most potent analyses of the craft: Turnabout: Crafting the Double-Cross and When Deception Fails: The Theory of Outs. Each examination delves into extensive case studies to establish not only foundational understandings of essential espionage principals, but also creates guidance for their practical application on both individual and governmental scales. Deception is a basic tactic used by allies and enemies alike, but when both protagonist and antagonist ply the same trade, it is the master of the double-cross who comes out the victor. Turnabout and Deception examines how to turn the tables on an opponent and use their own deception against them. Through thirty-eight case studies, this monograph dissects the double-cross to reveal the psychological battle of wits at its core. No matter how well crafted, however, there is always a chance that a deception will fail. But failure is not the end of a deception, and even failed deception operations can yield results. Turnabout and Deception pores over sixty more case studies to determine why a deception will fail, steps to prevent a failed operation, and how to turn that failure into a success.

This forward-looking Research Handbook makes an insightful contribution to the emerging field of studies on communication of, by and with AI. Bringing together state-of-the-art research from over 50 leading international scholars across various fields, it provides a comprehensive overview of the complex intersections between AI and communication.

Our privacy is besieged by tech companies. Companies can do this because our laws are built on outdated ideas that trap lawmakers, regulators, and courts into wrong assumptions about privacy, resulting in ineffective legal remedies to one of the most pressing concerns of our generation. Drawing on behavioral science, sociology, and economics, Ignacio Cofone challenges existing laws and reform proposals and dispels enduring misconceptions about data-driven interactions. This exploration offers readers a holistic view of why current laws and regulations fail to protect us against corporate digital harms, particularly those created by AI. Cofone then proposes a better response: meaningful accountability for the consequences of corporate data practices, which ultimately entails creating a new type of liability that recognizes the value of privacy.

This book introduces recent research results for cyber deception, a promising field for proactive cyber defense. The beauty and challenge of cyber deception is that it is an interdisciplinary research field requiring study from techniques and strategies to human aspects. This book covers a wide variety of cyber deception research, including game theory, artificial intelligence, cognitive science, and deception-related technology. Specifically, this book addresses three core elements regarding cyber deception: Understanding human’s cognitive behaviors in decoyed network scenarios Developing effective deceptive strategies based on human’s behaviors Designing deceptive techniques that supports the enforcement of deceptive strategies The research introduced in this book identifies the scientific challenges, highlights the complexity and inspires the future research of cyber deception. Researchers working in cybersecurity and advanced-level computer science students focused on cybersecurity will find this book useful as a reference. This book also targets professionals working in cybersecurity. Chapter 'Using Amnesia to Detect Credential Database Breaches' and Chapter 'Deceiving ML-Based Friend-or-Foe Identification for Executables' are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.