Mamoona Humayun - Böcker

This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such as cybersecurity, IoT, Blockchain, Machine Learning, Data Science, and AI. This book brings together, in one resource, information security across multiple domains.Information Security Handbook addresses the knowledge for emerging multidisciplinary research. It explores basic and high-level concepts and serves as a manual for industry while also helping beginners to understand both basic and advanced aspects in security-related issues. The handbook explores security and privacy issues through the IoT ecosystem and implications to the real world and, at the same time, explains the concepts of IoT-related technologies, trends, and future directions.University graduates and postgraduates, as well as research scholars, developers, and end-users, will find this handbook very useful.

Federated Learning for the Metaverse: Applications in Virtual Environments provides readers with insights into how federated learning, a decentralized machine learning paradigm, can be strategically applied to address critical aspects of the metaverse. The book covers a wide range of topics, including privacy-preserving personalization, security, collaboration, adaptive learning environments, real-time communication, decentralized governance, language understanding, immersive learning experiences, avatar customization, and dynamic scene rendering.Explores practical applications of federated learning within the metaverse, examining real-world scenarios and showcasing successful implementationsOffers diverse perspectives from experts in the fields of federated learning, virtual reality, augmented reality, and immersive technologiesProvides practical guidance on implementing federated learning techniques within metaverse applications, accompanied by code snippets and case studiesAddresses the ethical considerations and implications of utilizing federated learning in the metaverse, including privacy concerns and data governanceDiscusses emerging trends at the intersection of federated learning and the metaverse

This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such as cybersecurity, IoT, Blockchain, Machine Learning, Data Science, and AI. This book brings together, in one resource, information security across multiple domains.Information Security Handbook addresses the knowledge for emerging multidisciplinary research. It explores basic and high-level concepts and serves as a manual for industry while also helping beginners to understand both basic and advanced aspects in security-related issues. The handbook explores security and privacy issues through the IoT ecosystem and implications to the real world and, at the same time, explains the concepts of IoT-related technologies, trends, and future directions.University graduates and postgraduates, as well as research scholars, developers, and end-users, will find this handbook very useful.