Introduction To Internet Of Things Basic Concept Challenges Security Issues Applications Architecture
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Introduction to Internet of Things (Basic Concept, Challenges, Security Issues, Applications & Architecture)
Author: Dr. Anil Kumar Mishra,Mr. Ashis Kumar Mishra,Prof. Yogomaya Mohapatra
language: en
Publisher: Nitya Publications
Release Date: 2020-01-01
Introduction to Internet of Things: Basic Concept, challenges, security issues, applications and architecture will provide strong back ground knowledge about IoT and its application. The literature regarding IoT has been reviewed thoroughly and the concepts are presented. This book is about IoT and applications. Its objective is to present as clearlyand completely as possible, the nature and characteristics of IoT devices. The book will help beginners and graduate students to gain theimportant concepts and ideas about IoT.
Introduction to Cybersecurity in the Internet of Things
This book addresses the security challenges facing the rapidly growing Internet of Things (IoT) industry, including the potential threats and risks arising from its complex architecture. The authors discuss the overall IoT architecture, covering networking, computing, and security threats and risks to hardware such as sensors, actuators, and portable devices, as well as infrastructure layers. They cover a range of technical concepts such as cryptography, distributed storage, and data transmission, and offer practical advice on implementing security solutions such as authentication and access control. By exploring the future of cybersecurity in the IoT industry, with insights into the importance of big data and the threats posed by data mining techniques, this book is an essential resource for anyone interested in, or working in, the rapidly evolving field of IoT security.
Explainable IoT Applications: A Demystification
Author: Sachi Nandan Mohanty
language: en
Publisher: Springer Nature
Release Date: 2025-02-13
Explainable IoT Application: A Demystification is an in-depth guide that examines the intersection of the Internet of Things (IoT) with AI and Machine Learning, focusing on the crucial need for transparency and interpretability in IoT systems. As IoT devices become more integrated into daily life, from smart homes to industrial automation, it is increasingly important to understand and trust the decisions they make. The book starts by covering the basics of IoT, highlighting its importance in modern technology and its wide-ranging applications in fields such as healthcare, transportation, and smart cities. It then delves into the concept of explainability, stressing the need to prevent IoT systems from being perceived as opaque, black-box operations. The authors explore various techniques and methods for achieving explainability, including rule-based systems and machine learning models, while also addressing the challenge of balancing explainability with performance. Through practical examples, the book shows how explainability can be successfully implemented in IoT applications, such as in smart healthcare systems. Furthermore, the book addresses the significant challenges of securing IoT systems in an increasingly connected world. It examines the unique vulnerabilities that come with the widespread use of IoT devices, such as data breaches, cyberattacks, and privacy issues, and discusses the complexities of managing these risks. The authors emphasize the importance of implementing security strategies that strike a balance between fostering innovations and protecting user data. The book concludes with a comprehensive exploration of the challenges and opportunities in making IoT systems more transparent and interpretable, offering valuable insights for researchers, developers, and decision-makers aiming to create IoT applications that are both trustworthy and understandable.