Go to main content

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

Rehan, Syed, author.
2023
TK5105.8857
Available Online
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket
Cite
Citation

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
AWS IoT with Edge ML and cybersecurity : a hands-on approach / Syed Rehan.
Author
Rehan, Syed, author.
ISBN
9798868800115 (electronic bk.)
9798868800108
DOI
https://doi.org/10.1007/979-8-8688-0011-5
Published
[Berkeley, CA] : Apress, 2023.
Language
English
Description
1 online resource (xix, 340 pages) : illustrations
Item Number
10.1007/979-8-8688-0011-5 doi
Call Number
TK5105.8857
Dewey Decimal Classification
004.67/8
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 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.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 15, 2023).
Available in Other Form
Print version: 9798868800108
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export