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AWS IoT With Edge ML and Cybersecurity

2024-02-12 Computers
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Release : 2024-02-12
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis AWS IoT With Edge ML and Cybersecurity by : Syed Rehan

Download or read book AWS IoT With Edge ML and Cybersecurity written by Syed Rehan. This book was released on 2024-02-12. Available in PDF, EPUB and Kindle. Book excerpt: In an era where the fusion of connectivity and technology is redefining industries, this book is a must-have guide for aspiring technologists and seasoned professionals alike. This meticulously crafted handbook guides you through every aspect of AWS IoT, touching upon vital spheres such as edge computing, machine learning, and industrial IoT, with a distinct spotlight on cybersecurity. Over the course of this book, industry veteran Syed Rehad unveils the secrets to setting up your AWS IoT environment and walks you through advanced concepts such as leveraging MQTT, mastering Digital Twin implementation, and plumbing the depths of edge machine learning. Whether you're experimenting with virtual devices or hands-on with Raspberry Pi setups, this book will steer you towards innovation and a transformative journey where technology meets intelligence and security, all under the expansive umbrella of AWS IoT. What You Will Learn AWS Mastery: Dive deep into AWS IoT essentials, from setup to hands-on SDK tools Advanced Connectivity: Explore advanced MQTT features and the potential of AWS IoT Core MQTT clients Device Integration: Master AWS IoT device creation, connection, and deployment, blending the digital and physical Digital Twin: Unleash IoT's future with AWS IoT device shadow, capitalizing on digital twin technology Device Management: Transform remote oversight using secure IoT tunnelling and innovative actions Edge Development: Merge IoT and Machine Learning via AWS IoT Greengrass, spotlighting image classification Data to Insights: Swiftly move from raw data to actionable insights leveraging Amazon Timestream IoT Cybersecurity: Strengthen your defenses using AWS IoT Device Defender, Zero Trust principles, and Machine Learning (ML) Detect to prepare for and counter threats Who This Book Is For IoT developers and enthusiasts, professionals who want to implement IoT solutions in industrial scenarios, system architects and designers interested in edge machine learning, business intelligence analysts, and cybersecurity professionals.

Intelligent Workloads at the Edge

2022-01-14 Computers
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Release : 2022-01-14
Genre : Computers
Kind : eBook
Book Rating : 878/5 ( reviews)

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Book Synopsis Intelligent Workloads at the Edge by : Indraneel Mitra

Download or read book Intelligent Workloads at the Edge written by Indraneel Mitra. This book was released on 2022-01-14. Available in PDF, EPUB and Kindle. Book excerpt: Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMaker Key FeaturesAccelerate your next edge-focused product development with the power of AWS IoT GreengrassDevelop proficiency in architecting resilient solutions for the edge with proven best practicesHarness the power of analytics and machine learning for solving cyber-physical problemsBook Description The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs. This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You'll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you'll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance. By the end of this IoT book, you'll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting. What you will learnBuild an end-to-end IoT solution from the edge to the cloudDesign and deploy multi-faceted intelligent solutions on the edgeProcess data at the edge through analytics and MLPackage and optimize models for the edge using Amazon SageMakerImplement MLOps and DevOps for operating an edge-based solutionOnboard and manage fleets of edge devices at scaleReview edge-based workloads against industry best practicesWho this book is for This book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.

Modern Approaches in IoT and Machine Learning for Cyber Security

2024-01-08 Technology & Engineering
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Release : 2024-01-08
Genre : Technology & Engineering
Kind : eBook
Book Rating : 559/5 ( reviews)

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Book Synopsis Modern Approaches in IoT and Machine Learning for Cyber Security by : Vinit Kumar Gunjan

Download or read book Modern Approaches in IoT and Machine Learning for Cyber Security written by Vinit Kumar Gunjan. This book was released on 2024-01-08. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.

Learning AWS IoT

2018-01-29 Computers
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Release : 2018-01-29
Genre : Computers
Kind : eBook
Book Rating : 666/5 ( reviews)

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Book Synopsis Learning AWS IoT by : Agus Kurniawan

Download or read book Learning AWS IoT written by Agus Kurniawan. This book was released on 2018-01-29. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data and Edge Intelligence for Enhanced Cyber Defense

2024-07-31 Computers
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Release : 2024-07-31
Genre : Computers
Kind : eBook
Book Rating : 366/5 ( reviews)

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Book Synopsis Big Data and Edge Intelligence for Enhanced Cyber Defense by : Chhabi Rani Panigrahi

Download or read book Big Data and Edge Intelligence for Enhanced Cyber Defense written by Chhabi Rani Panigrahi. This book was released on 2024-07-31. Available in PDF, EPUB and Kindle. Book excerpt: An unfortunate outcome of the growth of the Internet and mobile technologies has been the challenge of countering cybercrime. This book introduces and explains the latest trends and techniques of edge artificial intelligence (EdgeAI) intended to help cyber security experts design robust cyber defense systems (CDS), including host-based and network-based intrusion detection system and digital forensic intelligence. This book discusses the direct confluence of EdgeAI with big data, as well as demonstrating detailed reviews of recent cyber threats and their countermeasure. It provides computational intelligence techniques and automated reasoning models capable of fast training and timely data processing of cyber security big data, in addition to other basic information related to network security. In addition, it provides a brief overview of modern cyber security threats and outlines the advantages of using EdgeAI to counter these threats, as well as exploring various cyber defense mechanisms (CDM) based on detection type and approaches. Specific challenging areas pertaining to cyber defense through EdgeAI, such as improving digital forensic intelligence, proactive and adaptive defense of network infrastructure, and bio-inspired CDM, are also discussed. This book is intended as a reference for academics and students in the field of network and cybersecurity, particularly on the topics of intrusion detection systems, smart grid, EdgeAI, and bio-inspired cyber defense principles. The front-line EdgeAI techniques discussed will also be of use to cybersecurity engineers in their work enhancing cyber defense systems.

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