AWS IoT With Edge ML and Cybersecurity : A Hands-On Approach / by Syed Rehan.

Format:

Book

Author/Creator:

Rehan, Syed.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

Cloud computing.

Artificial intelligence.

Computer programming.

Cloud Computing.

Artificial Intelligence.

Programming Techniques.

Local Subjects:

Cloud Computing.

Artificial Intelligence.

Programming Techniques.

Physical Description:

1 online resource (355 pages)

Edition:

1st ed. 2023.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2023.

Summary:

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 Rehan 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. You will learn: AWS Mastery: Dive deepinto 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 assests 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.

Contents:

Chapter 1: Setup AWS IoT Development Environment

Chapter 2: MQTT, IoT Policies, JITP and JITR

Chapter 3: Connecting and Publishing to AWS IoT

Chapter 4: Digital Twin with AWS IoT Device Shadow and Basic Ingest Routing

Chapter 5: Remote Actions using AWS IoT

Chapter 6: Edge Development Using AWS IoT Greengrass

Chapter 7: Industrial IoT with AWS IoT

Chapter 8: Machine Learning (ML) at Edge with AWS IoT

Chapter 9: Business Intelligence and Real-Time Insights by using Timestream Data

Chapter 10: Cybersecurity with AWS.

Notes:

Includes index.

Description based on publisher supplied metadata and other sources.

ISBN:

9798868800115

OCLC:

1414374936