Get up and running with collecting evidence using forensics best practices to present your findings in judicial or administrative proceedings

Key Features

• Learn the core techniques of computer forensics to acquire and secure digital evidence skillfully
• Conduct a digital forensic examination and document the digital evidence collected
• Analyze security systems and overcome complex challenges with a variety of forensic investigations

Book Description

A computer forensics investigator must possess a variety of skills, including the ability to answer legal questions, gather and document evidence, and prepare for an investigation. This book will help you get up and running with using digital forensic tools and techniques to investigate cybercrimes successfully.

Starting with an overview of forensics and all the open source and commercial tools needed to get the job done, you'll learn core forensic practices for searching databases and analyzing data over networks, personal devices, and web applications. You'll then learn how to acquire valuable information from different places, such as filesystems, e-mails, browser histories, and search queries, and capture data remotely. As you advance, this book will guide you through implementing forensic techniques on multiple platforms, such as Windows, Linux, and macOS, to demonstrate how to recover valuable information as evidence. Finally, you'll get to grips with presenting your findings efficiently in judicial or administrative proceedings.

By the end of this book, you'll have developed a clear understanding of how to acquire, analyze, and present digital evidence like a proficient computer forensics investigator.

What you will learn

• Understand investigative processes, the rules of evidence, and ethical guidelines
• Recognize and document different types of computer hardware
• Understand the boot process covering BIOS, UEFI, and the boot sequence
• Validate forensic hardware and software
• Discover the locations of common Windows artifacts
• Document your findings using technically correct terminology

Who this book is for

If you're an IT beginner, student, or an investigator in the public or private sector this book is for you.This book will also help professionals and investigators who are new to incident response and digital forensics and interested in making a career in the cybersecurity domain.

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Spis treści

Federated Learning with Python. Design and implement a federated learning system and develop applications using existing frameworks eBook -- spis treści

• 1. Challenges in Big Data and Traditional AI
• 2. What Is Federated Learning?
• 3. Workings of the Federated Learning System
• 4. Federated Learning Server Implementation with Python
• 5. Federated Learning Client-Side Implementation
• 6. Running the Federated Learning System and Analyzing the Results
• 7. Model Aggregation
• 8. Introducing Existing Federated Learning Frameworks
• 9. Case Studies with Key Use Cases of Federated Learning Applications
• 10. Future Trends and Developments
• 11. Appendix, Exploring Internal Libraries