Unix To Human Date
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iOS Forensics for Investigators
Author: Gianluca Tiepolo
language: en
Publisher: Packt Publishing Ltd
Release Date: 2022-05-04
Extract crucial data and lead successful criminal investigations by infiltrating every level of iOS devices Key Features • Explore free and commercial tools for carrying out data extractions and analysis for digital forensics • Learn to look for key artifacts, recover deleted mobile data, and investigate processed data • Get up and running with extracting full filesystem images and jailbreak devices to gather the most data possible Book Description Professionals working in the mobile forensics industry will be able to put their knowledge to work with this practical guide to learning how to extract and analyze all available data from an iOS device. This book is a comprehensive, how-to guide that leads investigators through the process of collecting mobile devices and preserving, extracting, and analyzing data, as well as building a report. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book starts by covering the fundamentals of mobile forensics and how to overcome challenges in extracting data from iOS devices. Once you've walked through the basics of iOS, you'll learn how to use commercial tools to extract and process data and manually search for artifacts stored in database files. Next, you'll find out the correct workflows for handling iOS devices and understand how to extract valuable information to track device usage. You'll also get to grips with analyzing key artifacts, such as browser history, the pattern of life data, location data, and social network forensics. By the end of this book, you'll be able to establish a proper workflow for handling iOS devices, extracting all available data, and analyzing it to gather precious insights that can be reported as prosecutable evidence. What you will learn • Become familiar with the mobile forensics workflow • Understand how to legally seize iOS devices and preserve their data • Extract evidence through logical and filesystem acquisitions • Perform a deep-dive analysis of user data and system data • Gain insights by analyzing third-party applications • Get to grips with gathering evidence stored on iCloud Who this book is for Forensic analysts and investigators interested in extending their skills to extract data from iOS devices, including system logs, device usage, and third-party application data, will find this book useful. Anyone familiar with the principles of digital forensics and looking to expand their knowledge base in deep iOS examinations will also benefit from this book. Knowledge of mobile forensic principles, data extraction, Unix/Linux terminal, and some hands-on understanding of databases and SQL query language is assumed.
Learning Modern Linux
Author: Michael Hausenblas
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2022-04-15
If you use Linux in development or operations and need a structured approach to help you dive deeper, this book is for you. Author Michael Hausenblas also provides tips and tricks for improving your workflow with this open source operating system. Whether you're a developer, software architect, or site reliability engineer, this hands-on guide focuses on ways to use Linux for your everyday needs, from development to office-related tasks. Along the way, you'll gain hands-on experience with modern Linux terminals and shells, and learn how to manage your workloads. You'll understand how to run Linux applications by using containers, systemd, modern filesystems, and immutable distros such as Flatcar and Bottlerocket. Use Linux as a modern work environment, rather than just from an admin perspective Learn critical components such as the Linux kernel, terminal multiplexer, human-friendly shells, and portable shell scripting Become familiar with access control, from file permissions to capabilities, and understand the role of filesystems as a fundamental building block Learn about application dependency management and containers Gain hands-on experience with the Linux networking stack and tooling, including DNS Apply modern operating system observability to manage your workloads Become familiar with interprocess communication, virtual machines, and selected security topics
Introduction to Text Analytics
Author: Emily Ohman
language: en
Publisher: SAGE Publications Limited
Release Date: 2024-11-30
Clear, nuanced introduction to digital text mining and data analysis specifically for students in digital humanities and computational social science.