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Deep Learning Techniques for IoT Security and Privacy

comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and;

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Security and Privacy Issues in IoT Devices and Sensor Networks

theory in the field of sensor networks and IoT security Presents machine learning-based solutions for data security enhancement

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy;

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Hands-On Deep Learning for IoT

, DeepFi, and LSTM networks. Furthermore, you'll learn IoT application development for healthcare with IoT security enhanced. By the end;

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Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS)

of examples and illustrations, to effectively show the principles, algorithms, challenges, and applications of security, privacy, and trust for IoT;

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving;

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Green Internet of Things Sensor Networks

power supply against unauthorized use; and security of the IoT devices and their networks. For each, the authors outline the methods, presents;

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Green Internet of Things Sensor Networks

power supply against unauthorized use; and security of the IoT devices and their networks. For each, the authors outline the methods, presents;

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IoT Security Paradigms and Applications

, illustrating the role of blockchain in all possible facets of IoT security. Furthermore, it investigates the security and privacy issues associated;

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IoT Security Paradigms and Applications

, illustrating the role of blockchain in all possible facets of IoT security. Furthermore, it investigates the security and privacy issues associated;

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Privacy Vulnerabilities and Data Security Challenges in the IoT

This book discusses the evolution of security and privacy issues in the Internet of Things (IoT). The book focuses on assembling all;

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Deep Learning and IoT in Healthcare Systems

describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide. The authors explore the convergence;

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Internet of Things Security and Data Protection

security requirements. They discuss the most recent approach to support trusted IoT, including new models of privacy risk assessment, labeling and;

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Engineering Secure Internet of Things Systems

IoT. Topics covered include a security survey of middleware for the IoT; privacy in the IoT; privacy and consumer IoT - a sensemaking;

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Security and Privacy in Internet of Things (IoTs)

attention of hackers. Security and Privacy in Internet of Things (IoTs): Models, Algorithms, and Implementations brings together some of the top IoT;

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Deep Biometrics

learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big;

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Deep Biometrics

learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big;

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Security and Privacy in the Internet of Things

This book provides a comprehensive study of the security and privacy research advancements in Internet of Things (IoT). The book lays the;

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Security and Privacy for Big Data, Cloud Computing and Applications

, privacy verification based on machine learning, and chaos-based communication systems. This book is an essential reading for networking, computing;

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Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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Towards the Internet of Things

This book presents a comprehensive framework for IoT, including its architectures, security, privacy, network communications, and protocols;

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Artificial Intelligence for IoT Cookbook

Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key Features Discover;

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Security and Privacy

-chain and cryptocurrency, IoT security and privacy, cloud security, machine learning in cybersecurity, and other disciplines related to security;

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Internet of Things and Secure Smart Environments

, security, and privacy) in IoT for smart environments This book covers state-of-the-art problems, presents solutions, and opens research directions;

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Digital Health in Focus of Predictive, Preventive and Personalised Medicine

* Clinical Data Visualisation Standards - Security and privacy for e-health * Health data;

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