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AWS IoT with Edge ML and cybersecuri...

Rehan, Syed.

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AWS IoT with Edge ML and cybersecurity = a hands-on approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AWS IoT with Edge ML and cybersecurity/ by Syed Rehan ; foreword by Yasser Alsaied VP of AWS IoT.
Reminder of title:	a hands-on approach /
Author:	Rehan, Syed.
other author:	Alsaied, Yasser,
Published:	Berkeley, CA :Apress : : 2023.,
Description:	xix, 340 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Internet of things. -
Online resource:	https://doi.org/10.1007/979-8-8688-0011-5
ISBN:	9798868800115

AWS IoT with Edge ML and cybersecurity = a hands-on approach /
Rehan, Syed.

AWS IoT with Edge ML and cybersecuritya hands-on approach /[electronic resource] :by Syed Rehan ; foreword by Yasser Alsaied VP of AWS IoT. - Berkeley, CA :Apress :2023. - xix, 340 p. :ill., digital ;24 cm.

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.

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. 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 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.

ISBN: 9798868800115

Standard No.: 10.1007/979-8-8688-0011-5doiSubjects--Corporate Names:

3242822
Amazon Web Services (Firm)
Subjects--Topical Terms:

2057703
Internet of things.

LC Class. No.: TK5105.8857

Dewey Class. No.: 004.678

AWS IoT with Edge ML and cybersecurity = a hands-on approach /
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505 0 $a 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.
520 $a 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. 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 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.
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650 0 $a Computer security. $3 540555
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650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Programming Techniques. $3 892496
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