Advanced Approaches for Trust and Identity Management in Aiot Environments

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.