Synopsis
As AI-enabled devices integrate with infrastructure, ensuring they can securely identify and establish trustworthy interactions grows complex. Traditional security models struggle to handle AIoT ecosystems, where devices must verify one another, assess trustworthiness, and maintain secure interactions. Emerging solutions, like decentralized identity frameworks, blockchain-based trust models, zero-trust architectures, and AI-driven behavioral authentication, offer promising ways to enhance resilience and reliability. Together, these innovations may create AIoT systems that are intelligent and connected while also secure, verifiable, and trustworthy. Advanced Approaches for Trust and Identity Management in AIoT Environments explores how emerging security techniques establish reliable identity verification and trust relationships among devices in AIoT ecosystems. It examines the limitations of traditional methods and evaluates innovative solutions that address current challenges. This book covers topics such as monitoring systems, threat models, and authentication management, and is a useful resource for computer engineers, security professionals, academicians, researchers, and scientists.
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À propos de l?auteur
Momina Shaheen Fellow, Higher Education Academy (UK), is Lecturer in Computing, in University of Roehampton, London, United Kingdom. She is a Ph.D Scholar with 15+ journal publications and 4 conference publications in Computing and cutting edge technologies. She earned her master's in software engineering from Bahria University Islamabad Campus in 2016. She has more than 6 years of experience in research and academia. She has supervised and initiated a number of projects in her career. She has lead different project in the area of Machine Learning, Data Science, Artificial Intelligence, Internet of things, Cognitive Sciences and Distributed Systems.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Advanced Approaches for Trust and Identity Management in AIoT Environments
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As AI-enabled devices integrate with infrastructure, ensuring they can securely identify and establish trustworthy interactions grows complex. Traditional security models struggle to handle AIoT ecosystems, where devices must verify one another, assess trustworthiness, and maintain secure interactions. Emerging solutions, like decentralized identity frameworks, blockchain-based trust models, zero-trust architectures, and AI-driven behavioral authentication, offer promising ways to enhance resilience and reliability. Together, these innovations may create AIoT systems that are intelligent and connected while also secure, verifiable, and trustworthy. Advanced Approaches for Trust and Identity Management in AIoT Environments explores how emerging security techniques establish reliable identity verification and trust relationships among devices in AIoT ecosystems. It examines the limitations of traditional methods and evaluates innovative solutions that address current challenges. This book covers topics such as monitoring systems, threat models, and authentication management, and is a useful resource for computer engineers, security professionals, academicians, researchers, and scientists. N° de réf. du vendeur 9798337362991
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Expédition depuis Allemagne vers Etats-Unis
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