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Leverage the full potential of IoT with the combination of Raspberry Pi 3 and Python and architect a complete IoT system that is the best fit for your organization Key FeaturesBuild complex Python-based applications with IoTExplore different concepts, technologies, and tradeoffs in the IoT architectural stackDelve deep into each element of the IoT design—from sensors to the cloudBook Description The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. We’ll begin our journey with an introduction to Raspberry Pi and quickly jump right into Python programming. We’ll learn all concepts through multiple projects, and then reinforce our learnings by creating an IoT robot car. We’ll examine modern sensor systems and focus on what their power and functionality can bring to our system. We’ll also gain insight into cloud and fog architectures, including the OpenFog standards. The Learning Path will conclude by discussing three forms of prevalent attacks and ways to improve the security of our IoT infrastructure. By the end of this Learning Path, we will have traversed the entire spectrum of technologies needed to build a successful IoT system, and will have the confidence to build, secure, and monitor our IoT infrastructure. This Learning Path includes content from the following Packt products: Internet of Things Programming Projects by Colin DowInternet of Things for Architects by Perry LeaWhat you will learnBuild a home security dashboard using an infrared motion detectorReceive data and display it with an actuator connected to the Raspberry PiBuild an IoT robot car that is controlled via the InternetUse IP-based communication to easily and quickly scale your systemExplore cloud protocols, such as Message Queue Telemetry Transport (MQTT) and CoAPSecure communication with encryption forms, such as symmetric keyWho this book is for This Learning Path is designed for developers, architects, and system designers who are interested in building exciting projects with Python by understanding the IoT ecosphere, various technologies, and tradeoffs. Technologists and technology managers who want to develop a broad view of IoT architecture, will also find this Learning Path useful. Prior programming knowledge of Python is a must.
The Internet of Things (IoT) has revolutionized the way we interact with technology, connecting devices and systems like never before. However, this connectivity brings with it significant security challenges. In "Mastering IoT Security," renowned cybersecurity expert Kris Hermans provides a comprehensive guide to help you navigate the complexities of securing IoT devices and networks, empowering you to achieve robust security in the connected world of IoT. With a deep understanding of the IoT landscape, Hermans demystifies the intricacies of IoT security, providing practical insights and strategies to safeguard IoT deployments. From securing device connectivity and data integrity to managing IoT vulnerabilities and implementing best practices, this book equips you with the knowledge and tools needed to protect your IoT infrastructure. Inside "Mastering IoT Security," you will: 1. Understand the IoT security landscape: Gain insights into the unique security challenges posed by the IoT ecosystem. Learn about the threat landscape, attack vectors, and vulnerabilities associated with IoT devices and networks. 2. Implement robust IoT security measures: Discover strategies for securing device connectivity, ensuring data integrity, and protecting user privacy. Learn how to implement secure communication protocols, enforce strong authentication mechanisms, and deploy encryption technologies. 3. Manage IoT vulnerabilities: Develop an effective vulnerability management program for IoT devices and networks. Explore techniques for identifying, assessing, and mitigating vulnerabilities, ensuring that your IoT ecosystem remains resilient against emerging threats. 4. Leverage best practices for IoT security: Learn from real-world case studies and best practices to optimize your IoT security posture. Gain insights into secure device provisioning, secure coding practices, and secure firmware updates, enabling you to build a strong foundation for IoT security. 5. Navigate legal and regulatory considerations: Understand the legal and compliance landscape surrounding IoT security. Stay up to date with data privacy regulations, industry standards, and regulations that impact IoT deployments. With real-world examples, practical advice, and actionable guidance, "Mastering IoT Security" empowers you to protect your IoT infrastructure effectively. Kris Hermans' expertise as a cybersecurity expert ensures that you have the knowledge and strategies to navigate the complex landscape of IoT security. Don't let security concerns hinder the potential of IoT. Strengthen your IoT security with "Mastering IoT Security" as your trusted companion. Arm yourself with the knowledge and tools to achieve robust security in the connected world of IoT.
Powering Industrial Growth with IoT Innovations. KEY FEATURES ● Unlock the potential of IoT across industries while honing your skills to design and build IoT devices. ● Dive into architectural frameworks, enriched with real-world examples, to navigate IoT complexities and implement effective solutions for tangible results. ● Gain insights into emerging trends shaping the future of IoT and Industry 4.0. DESCRIPTION Embark on a journey through the transformative landscape of IoT with this comprehensive guide, “Mastering IoT For Industrial Environments”. From its inception in the Industrial Revolution to its pivotal role in Industry 4.0, each chapter provides a deep dive into essential concepts. It will explore IoT architecture, microcontrollers, communication protocols, and interfacing protocols. Delve into MQTT, the protocol for IoT, and machine-to-machine communication. Discover the transition to ESP-IDF and the future of IoT in Industry 4.0. This book provides readers with practical insights into implementing IoT solutions within industrial contexts. Through a meticulously curated array of case studies and real-world applications, readers gain invaluable perspectives on the prevailing IoT trends shaping industrial landscapes. Spanning from intelligent factories and predictive maintenance to supply chain optimization and energy management, the book addresses a spectrum of topics reflective of contemporary industrial challenges and opportunities. WHAT WILL YOU LEARN ● Gain a comprehensive understanding of Industry 4.0, delving into its historical context and core principles, with a focus on its technological cornerstone, IoT. ● Explore the layered architecture of IoT, covering perception, network, cloud, and application layers. ● Dive into the functionalities and applications of microcontrollers in IoT projects, particularly Arduino and ESP microcontrollers for beginners. ● Understand the IoT product development framework and the significance of machine-to-machine communication in the IoT ecosystem across various domains. ● Comprehend the diverse communication protocols used in IoT systems, analyzing their strengths, weaknesses, and practical applications. WHO IS THIS BOOK FOR? This book is tailored for engineers and professionals within industrial sectors looking to grasp and execute IoT solutions effectively. It also caters to students, academics delving into IoT studies, and individuals keen on staying abreast of the latest trends in Industry 4.0. TABLE OF CONTENTS 1. Industrial Revolution with IoT 2. The Architecture of IoT 3. Microcontrollers – The Brain Behind IoT Devices 4. Communication Protocols in IoT 5. Introduction to Interfacing Protocols 6. MQTT – The Protocol for Internet of Things 7. Machine-to-Machine Communication 8. Shifting to ESP-IDF 9. IoT in Industry 4.0 Index
Augment your IoT skills with the help of engaging and enlightening tutorials designed for Raspberry Pi 3 Key Features Design and implement state-of-the-art solutions for the Internet of Things Build complex projects using motions detectors, controllers, sensors, and Raspberry Pi 3 A hands-on guide that provides interoperable solutions for sensors, actuators, and controllers Book Description The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. Mastering Internet of Things starts by presenting IoT fundamentals and the smart city. You will learn the important technologies and protocols that are used for the Internet of Things, their features, corresponding security implications, and practical examples on how to use them. This book focuses on creating applications and services for the Internet of Things. Further, you will learn to create applications and services for the Internet of Things. You will be discover various interesting projects and understand how to publish sensor data, control devices, and react to asynchronous events using the XMPP protocol. The book also introduces chat, to interact with your devices. You will learn how to automate your tasks by using Internet of Things Service Platforms as the base for an application. You will understand the subject of privacy, requirements they should be familiar with, and how to avoid violating any of the important new regulations being introduced. At the end of the book, you will have mastered creating open, interoperable and secure networks of things, protecting the privacy and integrity of your users and their information. What you will learn Create your own project, run and debug it Master different communication patterns using the MQTT, HTTP, CoAP, LWM2M and XMPP protocols Build trust-based as hoc networks for open, secure and interoperable communication Explore the IoT Service Platform Manage the entire product life cycle of devices Understand and set up the security and privacy features required for your system Master interoperability, and how it is solved in the realms of HTTP,CoAP, LWM2M and XMPP Who this book is for If you're a developer or electronic engineer and are curious about the Internet of Things, this is the book for you. With only a rudimentary understanding of electronics and Raspberry Pi 3, and some programming experience using managed code, such as C# or Java, you will be taught to develop state-of-the-art solutions for the Internet of Things.
Learn to use AWS IoT services to build your connected applications with the help of this comprehensive guide. Key Features Gets you started with AWS IoT and its functionalities Learn different modules of AWS IoT with practical use cases. Learn to secure your IoT communication Book Description The Internet of Things market increased a lot in the past few years and IoT development and its adoption have showed an upward trend. Analysis and predictions say that Enterprise IoT platforms are the future of IoT. AWS IoT is currently leading the market with its wide range of device support SDKs and versatile management console. This book initially introduces you to the IoT platforms, and how it makes our IoT development easy. It then covers the complete AWS IoT Suite and how it can be used to develop secure communication between internet-connected things such as sensors, actuators, embedded devices, smart applications, and so on. The book also covers the various modules of AWS: AWS Greengrass, AWS device SDKs, AWS IoT Platform, AWS Button, AWS Management consoles, AWS-related CLI, and API references, all with practical use cases. Near the end, the book supplies security-related best practices to make bi-directional communication more secure. When you've finished this book, you'll be up-and-running with the AWS IoT Suite, and building IoT projects. What you will learn Implement AWS IoT on IoT projects Learn the technical capabilities of AWS IoT and IoT devices Create IoT-based AWS IoT projects Choose IoT devices and AWS IoT platforms to use based on the kind of project you need to build Deploy AWS Greengrass and AWS Lambda Develop program for AWS IoT Button Visualize IoT AWS data Build predictive analytics using AWS IoT and AWS Machine Learning Who this book is for This book is for anyone who wants to get started with the AWS IoT Suite and implement it with practical use cases. This book acts as an extensive guide, on completion of which you will be in a position to start building IoT projects using AWS IoT platform and using cloud services for your projects.
Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. • Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications • Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches • Discusses various techniques of IoT systems for healthcare data analytics • Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics • Focuses more on the application of algorithms in various real life biomedical and engineering problems
About the Book: The book is divided into 4 modules which consist of 21 chapters, that narrates briefly about the top five recent emerging trends such as: Cloud Computing, Internet of Things (IoT), Blockchain, Artificial Intelligence, and Machine Learning. At the end of each module, authors have provided two Appendices. One is Job oriented short-type questions with answers, and the second one provide us different MCQs with their keys. Salient Features of the Book:  Detailed Coverage on Topics like: Introduction to Cloud Computing, Cloud Architecture, Cloud Applications, Cloud Platforms, Open-Source Cloud Simulation Tools, and Mobile Cloud Computing.  Expanded Coverage on Topics like: Introduction to IoT, Architecture, Core Modules, Communication models and protocols, IoT Environment, IoT Testing, IoT and Cloud Computing.  Focused Coverage on Topics like: Introduction to Blockchain Technology, Security and Privacy component of Blockchain Technology, Consensus Algorithms, Blockchain Development Platform, and Various Applications.  Dedicated Coverage on Topics like: Introduction to Artificial Intelligence and Machine Learning Techniques, Types of Machine Learning, Clustering Algorithms, K-Nearest Neighbor Algorithm, Artificial Neural Network, Deep Learning, and Applications of Machine Learning.  Pictorial Two-Minute Drill to Summarize the Whole Concept.  Inclusion of 300 Job Oriented Short Type Questions with Answers for the aspirants to have the Thoroughness, Practice and Multiplicity.  Around 178 Job Oriented MCQs with their keys.  Catch Words and Questions on Self-Assessment at Chapter-wise Termination. About the Authors: Dr. Rajesh Kumar Dhanaraj is an Associate Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, Uttar Pradesh, India. He holds a Ph.D. degree in Information and Communication Engineering from Anna University Chennai, India. He has published more than 20 authored and edited books on various emerging technologies and more than 35 articles in various peer-reviewed journals and international conferences and contributed chapters to the books. His research interests include Machine Learning, Cyber-Physical Systems and Wireless Sensor Networks. He is an expert advisory panel member of Texas Instruments Inc. USA. Mr. Soumya Ranjan Jena is currently working as an Assistant Professor in the Department of CSE, School of Computing at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science & Technology, Avadi, Chennai, Tamil Nadu, India. He has teaching and research experience from various reputed institutions in India like Galgotias University, Greater Noida, Uttar Pradesh, AKS University, Satna, Madhya Pradesh, K L Deemed to be University, Guntur, Andhra Pradesh, GITA (Autonomous), Bhubaneswar, Odisha. He has been awarded M.Tech in Information Technology from Utkal University, Odisha, B.Tech in Computer Science & Engineering from BPUT, Odisha, and Cisco Certified Network Associate (CCNA) from Central Tool Room and Training Centre (CTTC), Bhubaneswar, Odisha. He has got the immense experience to teach to graduate as well as post-graduate students and author of two books i.e. “Theory of Computation and Application” and “Design and Analysis of Algorithms”. He has published more than 25 research papers on Cloud Computing, IoT in various international journals and conferences which are indexed by Scopus, Web of Science, and also published six patents out of which one is granted in Australia. Mr. Ashok Kumar Yadav is currently working as Dean Academics and Assistant Professor at Rajkiya Engineering College, Azamgarh, Uttar Pradesh. He has worked as an Assistant Professor (on Ad-hoc) in the Department of Computer Science, University of Delhi. He has also worked with Cluster Innovation Center, University of Delhi, New Delhi. He qualified for UGC-JRF. Presently, he is pursuing his Ph.D. in Computer Science from JNU, New Delhi. He has received M.Tech in Computer Science and Technology from JNU, New Delhi. He has presented and published papers at international conferences and journals on blockchain technology and machine learning. He has delivered various expert lectures on reputed institutes. Ms. Vani Rajasekar completed B. Tech (Information Technology), M. Tech (Information and Cyber warfare) in Department of Information Technology, Kongu Engineering College, Erode, Tamil Nadu, India. She is pursuing her Ph.D. (Information and Communication Engineering) in the area of Biometrics and Network security. Presently she is working as an Assistant professor in the Department of Computer Science and Engineering, Kongu Engineering College Erode, Tamil Nadu, India for the past 5 years. Her areas of interest include Cryptography, Biometrics, Network Security, and Wireless Networks. She has authored around 20 research papers and book chapters published in various international journals and conferences which were indexed in Scopus, Web of Science, and SCI.
National Education Policy 2020 states that India is a global leader in information and communication technology and education will play a critical role in this transformation. Technology and education at all levels have a mutually beneficial relationship since technology itself significantly contribute to the enhancement of educational procedures and results.In the field of education, technology is also putting a drastic change and making the way of learning and teaching much easier and more innovative as compare to the olden days. Especially during the time of pandemic, technology played a very crucial role in the field of education. It makes people aware about the technical world. The first education policy of the twenty-first century, National Education Policy 2020 attempts to address the many expanding experimental imperatives facing our nation. In order to create a new system that is in line with the ambitious goals of 21st-century education, including SDG4, while building upon India's traditions and value systems, this policy suggests changing and remodelling every element of the educational structure, including its regulation and governance. The National Education Policy lays particular emphasis on the development of the creative potentiality of each person. One of the endless tasks of the National Educational Technology Forum (NETF) will be to classify imperative technologies grounded on their implicit and estimated timeframe for dislocation, and to periodically present this analysis to MHRD. MHRD will formally identify those technologies whose emergence necessitates reactions from the educational system based on these inputs. Keeping in mind the recommendations of NEP 2020, this book is the attempt to highlight the new emerging technologies of the 21st century which help the teacher and the students to understand the concept and importance of these emerging technologies. This book provides a comprehensive understanding of the emergence and evolution of new technologies in the field of education to enhance learning. It consists of 11 chapters which includes Artificial Intelligence and Machine Learning - provide predictive analytics and individualized learning experiences and have the potential to completely transform the education industry. Virtual Reality and Augmented Reality -these two cutting-edge technologies provide immersive and interactive learning experiences and are becoming more and more popular in the educational sector. Data Analytics or Learning Analytics -with its ability to provide insights on student performance, engagement, and learning outcomes, data analytics is becoming more and more significant in the educational field. By analysing data from different sources, educators can identify trends, predict student success, and implement evidence-based strategies to improve teaching and learning. Microlearning and Mobile Learning -they represent a paradigm shift in the Indian educational framework. They align with the national goals of digital India and education for all, promoting a more democratized, flexible, and learner-centric approach to education. Internet of Things (IoT) - often termed as "Smart Education," encompasses a wide array of applications that transcend traditional learning methodologies. It aims to transcend traditional boundaries, enabling a seamless blend of physical and digital learning spaces, which is especially pivotal in a country marked by diverse socio-economic and geographical landscapes. Gamification and Game-Based Learning - with their inclusive and adaptable nature, offer a more personalized and engaging learning experience. This is particularly relevant in a country like India, where digital access and literacy are on the rise, paving the way for digital learning solutions to make a substantial impact. Electronic and interactive textbooks - these digital resources have revolutionized the way educators teach and students learn, offering dynamic content that goes beyond the static pages of traditional textbooks. Active and Collaborative Learning - in the realm of education, active learning is not just a methodology but a paradigm shifts that champions student engagement as the cornerstone of effective learning. This approach, significantly beneficial in the Indian context, challenges students to interact with the material, engage in higher-order thinking, and apply knowledge in varied scenarios. It's an approach that transforms classrooms from silent note-taking environments to vibrant interactive spaces where students question, discuss, and explore subjects deeply. This book examines the current state of these new technologies from several educational perspectives, highlights some of them, and discusses both their established and potential educational benefits. In addition, it provides an in-depth discussion of recent developments and future challenges from many different perspectives. This book is an informative resource for scholars, policymakers and researchers in pedagogy, educational technology, digital learning, communication and education research. The book content equips educators at all levels with essential information required to adapt to emerging technologies in order to improve teaching, student support and learning outcomes. Syed Hasan Qasim
Unlock the World of Seamless Wireless Communication with "Mastering Wireless Communication" In today's interconnected world, the ability to communicate wirelessly is at the heart of innovation. "Mastering Wireless Communication" is your definitive guide to mastering the art of seamless wireless connectivity. Whether you're an experienced wireless engineer or a newcomer to the realm of wireless technology, this book equips you with the knowledge and skills needed to navigate the complexities of wireless communication. About the Book: "Mastering Wireless Communication" takes you on an enlightening journey through the intricacies of wireless technology, from fundamental concepts to advanced techniques. From radio waves to modern wireless protocols, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Wireless Fundamentals: Build a solid understanding of wireless principles, including modulation, signal propagation, antennas, and the electromagnetic spectrum. · Wireless Protocols: Explore a range of wireless communication protocols, from Wi-Fi and Bluetooth to cellular networks and IoT protocols, understanding their strengths and applications. · Spectrum Management: Learn how to effectively manage and allocate wireless spectrum, considering issues like interference, congestion, and regulatory challenges. · Signal Processing: Master the essentials of signal processing in wireless communication, including modulation techniques, error correction, and channel coding. · Antenna Design: Dive into the world of antenna design, understanding different types of antennas and their roles in achieving optimal signal propagation. · Security and Privacy: Explore wireless security mechanisms, encryption protocols, and privacy considerations to ensure secure wireless communication. · Emerging Technologies: Discover cutting-edge trends such as 5G, Wi-Fi 6, and beyond, and their implications for the future of wireless communication. · Real-World Use Cases: Gain insights from real-world examples across industries, from telecommunications and smart cities to healthcare and automotive. · IoT and Connectivity: Understand the role of wireless communication in the Internet of Things (IoT) ecosystem and its impact on connected devices. Who This Book Is For: "Mastering Wireless Communication" is designed for wireless engineers, network professionals, developers, and anyone passionate about wireless technology. Whether you're aiming to enhance your skills or dive into the world of wireless communication, this book provides the insights and tools to navigate the intricacies of wireless connectivity. Why You Should Read This Book: © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com