Emy Taliana Trust And Believe

This book is dedicated to the issues of security, trust and privacy models, and architectures in IoT environments. The authors aim to capture the latest research and contributions from academy, industry, and other stakeholders on new security models, architectures, protocols, and standards for ensuring security, privacy, and trustworthiness to IoT systems. The authors discuss the convergence of IoT, software agents, and edge computing to introduce social features into IoT systems, combining trustworthiness and reputation information collected by agents at the edge with security and privacy mechanisms. They also cover experimental and simulated campaigns that evaluate strategies to improve the security and privacy of the IoT world, and at the same time the ability to prevent and deter deceptive behaviors. The book is relevant for researchers, professionals, academics, and students.

This book is an attempt to bring closer the greater vision of the development of Social Informatics. Social Informatics can be de?ned as a discipline of informatics that studies how information systems can realize social goals, use social concepts, or become sources of information about social phenomena. All of these research directions are present in this book: fairness is a social goal; trust is a social concept; and much of this book bases on the study of traces of Internet auctions (used also to drive social simulations) that are a rich source of information about social phenomena. The book has been written for an audience of graduate students working in the area of informatics and the social sciences, in an attempt to bridge the gap between the two disciplines. Because of this, the book avoids the use of excessive mathematical formalism, especially in Chapter 2 that attempts to summarize the theoretical basis of the two disciplines of trust and fa- ness management. Readers are usually directed to quoted literature for the purpose of studying mathematical proofs of the cited theorems.

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