Fuzzing Against the Machine: Automate vulnerability research with emulated IoT devices on QEMU

Streamline your complex processes and optimize your organization's operational efficiency, cost-effectiveness, and customer experience by unlocking the potential of Microsoft Azure Cognitive Services and OpenAI


Purchase of the print or Kindle book includes a free PDF eBook


Key Features


Minimize costs and maximize operations by automating mundane activities using AI tools


Ideate solutions using real-world examples for manufacturing process improvement with AI


Master TCO and ROI analysis for implementing AI solutions, automating operations, and ideating innovative manufacturing solutions with real-world examples


Book Description


Azure Cognitive Services and OpenAI are a set of pre-built artificial intelligence (AI) solution APIs that can be leveraged from existing applications, allowing customers to take advantage of Microsoft’s award-winning Vision, Speech, Text, Decision, and GPT-4 AI capabilities.


With Practical Guide to Azure Cognitive Services, you’ll work through industry-specific examples of implementations to get a head-start in your production journey. You’ll begin with an overview of the categorization of Azure Cognitive Services and the benefits of embracing AI solutions for practical business applications. After that, you’ll explore the benefits of using Azure Cognitive Services to optimize efficiency and improve predictive capabilities. Then, you’ll learn how to leverage Vision capabilities for quality control, Form Recognizer to streamline supply chain nuances, language understanding to improve customer service, and Cognitive Search for next-generation knowledge-mining solutions.


By the end of this book, you’ll be able to implement various Cognitive Services solutions that will help you enhance efficiency, reduce costs, and improve the customer experience at your organization. You’ll also be well equipped to automate mundane tasks by reaping the full potential of OpenAI.


What you will learn


Master cost-effective deployment of Azure Cognitive Services


Develop proven solutions from an architecture and development standpoint


Understand how Cognitive Services are deployed and customized


Evaluate various uses of Cognitive Services with different mediums


Disseminate Azure costs for Cognitive Services workloads smoothly


Deploy next-generation Knowledge Mining solutions with Cognitive Search


Explore the current and future journey of OpenAI


Understand the value proposition of different AI projects


Who this book is for


This book is for data scientists, technology leaders, and software engineers looking to implement Azure Cognitive Services with the help of sample use cases derived from success stories. Experience with Python as well as an overall understanding of the Azure Portal with related services such as Azure Data Lake Storage and Azure Functions will help you make the most of this book.


 

1142982545
Fuzzing Against the Machine: Automate vulnerability research with emulated IoT devices on QEMU

Streamline your complex processes and optimize your organization's operational efficiency, cost-effectiveness, and customer experience by unlocking the potential of Microsoft Azure Cognitive Services and OpenAI


Purchase of the print or Kindle book includes a free PDF eBook


Key Features


Minimize costs and maximize operations by automating mundane activities using AI tools


Ideate solutions using real-world examples for manufacturing process improvement with AI


Master TCO and ROI analysis for implementing AI solutions, automating operations, and ideating innovative manufacturing solutions with real-world examples


Book Description


Azure Cognitive Services and OpenAI are a set of pre-built artificial intelligence (AI) solution APIs that can be leveraged from existing applications, allowing customers to take advantage of Microsoft’s award-winning Vision, Speech, Text, Decision, and GPT-4 AI capabilities.


With Practical Guide to Azure Cognitive Services, you’ll work through industry-specific examples of implementations to get a head-start in your production journey. You’ll begin with an overview of the categorization of Azure Cognitive Services and the benefits of embracing AI solutions for practical business applications. After that, you’ll explore the benefits of using Azure Cognitive Services to optimize efficiency and improve predictive capabilities. Then, you’ll learn how to leverage Vision capabilities for quality control, Form Recognizer to streamline supply chain nuances, language understanding to improve customer service, and Cognitive Search for next-generation knowledge-mining solutions.


By the end of this book, you’ll be able to implement various Cognitive Services solutions that will help you enhance efficiency, reduce costs, and improve the customer experience at your organization. You’ll also be well equipped to automate mundane tasks by reaping the full potential of OpenAI.


What you will learn


Master cost-effective deployment of Azure Cognitive Services


Develop proven solutions from an architecture and development standpoint


Understand how Cognitive Services are deployed and customized


Evaluate various uses of Cognitive Services with different mediums


Disseminate Azure costs for Cognitive Services workloads smoothly


Deploy next-generation Knowledge Mining solutions with Cognitive Search


Explore the current and future journey of OpenAI


Understand the value proposition of different AI projects


Who this book is for


This book is for data scientists, technology leaders, and software engineers looking to implement Azure Cognitive Services with the help of sample use cases derived from success stories. Experience with Python as well as an overall understanding of the Azure Portal with related services such as Azure Data Lake Storage and Azure Functions will help you make the most of this book.


 

39.99 In Stock
Fuzzing Against the Machine: Automate vulnerability research with emulated IoT devices on QEMU

Fuzzing Against the Machine: Automate vulnerability research with emulated IoT devices on QEMU

Fuzzing Against the Machine: Automate vulnerability research with emulated IoT devices on QEMU

Fuzzing Against the Machine: Automate vulnerability research with emulated IoT devices on QEMU

eBook

$39.99 

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Overview

Streamline your complex processes and optimize your organization's operational efficiency, cost-effectiveness, and customer experience by unlocking the potential of Microsoft Azure Cognitive Services and OpenAI


Purchase of the print or Kindle book includes a free PDF eBook


Key Features


Minimize costs and maximize operations by automating mundane activities using AI tools


Ideate solutions using real-world examples for manufacturing process improvement with AI


Master TCO and ROI analysis for implementing AI solutions, automating operations, and ideating innovative manufacturing solutions with real-world examples


Book Description


Azure Cognitive Services and OpenAI are a set of pre-built artificial intelligence (AI) solution APIs that can be leveraged from existing applications, allowing customers to take advantage of Microsoft’s award-winning Vision, Speech, Text, Decision, and GPT-4 AI capabilities.


With Practical Guide to Azure Cognitive Services, you’ll work through industry-specific examples of implementations to get a head-start in your production journey. You’ll begin with an overview of the categorization of Azure Cognitive Services and the benefits of embracing AI solutions for practical business applications. After that, you’ll explore the benefits of using Azure Cognitive Services to optimize efficiency and improve predictive capabilities. Then, you’ll learn how to leverage Vision capabilities for quality control, Form Recognizer to streamline supply chain nuances, language understanding to improve customer service, and Cognitive Search for next-generation knowledge-mining solutions.


By the end of this book, you’ll be able to implement various Cognitive Services solutions that will help you enhance efficiency, reduce costs, and improve the customer experience at your organization. You’ll also be well equipped to automate mundane tasks by reaping the full potential of OpenAI.


What you will learn


Master cost-effective deployment of Azure Cognitive Services


Develop proven solutions from an architecture and development standpoint


Understand how Cognitive Services are deployed and customized


Evaluate various uses of Cognitive Services with different mediums


Disseminate Azure costs for Cognitive Services workloads smoothly


Deploy next-generation Knowledge Mining solutions with Cognitive Search


Explore the current and future journey of OpenAI


Understand the value proposition of different AI projects


Who this book is for


This book is for data scientists, technology leaders, and software engineers looking to implement Azure Cognitive Services with the help of sample use cases derived from success stories. Experience with Python as well as an overall understanding of the Azure Portal with related services such as Azure Data Lake Storage and Azure Functions will help you make the most of this book.


 


Product Details

ISBN-13: 9781804614228
Publisher: Packt Publishing
Publication date: 05/19/2023
Sold by: Barnes & Noble
Format: eBook
Pages: 238
File size: 10 MB

About the Author

Antonio Nappa is an Application Analysis Team Leader at Zimperium Inc. He has been in the cybersecurity game since 17 years old. He holds a PhD in Software and Systems from the Madrid Institute of Advanced Studies. He has been a visiting scholar at UC Berkeley. His contributions have been published and recognized in international peer-reviewed venues. Since the DEFCON 2008 Finals, he never goes to sleep with a segfault.


Eduardo Blazquez is a PhD student of the University Carlos III of Madrid. He has been working in the cybersecurity area since 2017, with interests in Reverse Engineering and Malware Analysis. Currently, he is doing a PhD thesis about Android Security, but in his spare time he likes to study different topics like program analysis or operating system internals, and from time to time he likes to play different wargames about software exploitation.


Table of Contents

Table of Contents
  1. Who this book is for
  2. History of emulation
  3. Qemu from the ground
  4. Qemu Execution Modes and Fuzzing
  5. A Famous Refrain: AFL+QEMU = CVEs
  6. Modifying QEMU for basic instrumentation
  7. Real-life Case Study: Samsung Exynos Baseband
  8. Case Study: OpenWRT full system fuzzing
  9. Case Study: OpenWRT System Fuzzing for ARM
  10. Finally Here: iOS Full System Fuzzing
  11. Deus Ex Machina: Fuzzing Android Libraries
  12. Conclusion and Final Remarks
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