
Smart Home and Industrial IoT Devices: Critical Perspectives on Cyberthreats, Frameworks and Protocols
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Smart Home and Industrial IoT Devices: Critical Perspectives on Cyberthreats, Frameworks and Protocols
About this book
Smart Home and Industrial IoT Devices: Critical Perspectives on Cyber Threats, Frameworks and Protocols provides an in-depth examination of the Internet of Things (IoT) and its profound impact on smart homes and industrial systems. The book begins by exploring the significance of IoT in smart homes, followed by an analysis of emerging cyber threats targeting smart homes and cyber-physical systems. It presents AI and machine learning-based frameworks for monitoring water quality and managing irrigation in agriculture, highlighting their role in IoT ecosystems. The text also discusses a framework to mitigate cyber-attacks on robotic systems and introduces a multinomial naive Bayesian classifier for analyzing smart IoT devices. Dataflow analysis and modeling experiments are detailed, along with a comparison of IoT communication protocols using anomaly detection and security assessment. The book concludes with a discussion on efficient, lightweight intrusion detection systems and a unique taxonomy for IoT frameworks. This book is ideal for students, researchers, and professionals seeking to understand and secure IoT environments.
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Information
Table of contents
- Cover
- Table of Content
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- PREFACE
- Significance of IoT for Smart Homes and Cities
- New Age Attacks on Smart Homes and Cyber-Physical Systems
- Smart IoT and Machine Learning-Based Framework for Water Quality Assessment and Device Component Monitoring
- Smart Water Management Framework for Irrigation
- Secure Framework against Cyberattacks on Cyber-Physical Robotic Systems
- Multinomial Naïve Bayesian Classifier Framework for Systematic Analysis of Smart IoT Devices
- IIoT: Traffic Data Flow Analysis and Modeling Experiment for Smart IoT Devices
- Comparison of IoT Communication Protocols Using Anomaly Detection with Security Assessments of Smart Devices
- All-Inclusive Attack Taxonomy and IoT Security Framework
- Improving Performance of Machine Learning-Based Intrusion Detection System Using Simple Statistical Techniques in Feature Selection