Book Image

Practical Digital Forensics

By : Richard Boddington
Book Image

Practical Digital Forensics

By: Richard Boddington

Overview of this book

Digital Forensics is a methodology which includes using various tools, techniques, and programming language. This book will get you started with digital forensics and then follow on to preparing investigation plan and preparing toolkit for investigation. In this book you will explore new and promising forensic processes and tools based on ‘disruptive technology’ that offer experienced and budding practitioners the means to regain control of their caseloads. During the course of the book, you will get to know about the technical side of digital forensics and various tools that are needed to perform digital forensics. This book will begin with giving a quick insight into the nature of digital evidence, where it is located and how it can be recovered and forensically examined to assist investigators. This book will take you through a series of chapters that look at the nature and circumstances of digital forensic examinations and explains the processes of evidence recovery and preservation from a range of digital devices, including mobile phones, and other media. This book has a range of case studies and simulations will allow you to apply the knowledge of the theory gained to real-life situations. By the end of this book you will have gained a sound insight into digital forensics and its key components.
Table of Contents (18 chapters)
Practical Digital Forensics
Credits
About the Author
Acknowledgment
About the Reviewer
www.PacktPub.com
Preface
Index

Summary


The chapter further described the challenges posed by the rapidly increasing size of datasets that makes it difficult to seek digital evidence without considerable expenditure of time, money, and human resources. The questionability of conventional forensic image protection has also been highlighted. The continuing use of forensic imaging is predicted to become less prevalent because of the concomitant increase in the size of secure data stores to preserve the evidence and related resource costs. The use of better tools to process large datasets, identify important evidence, and preserve it in more modest storage sizes is urgently needed.

The chapter introduced the evidence-searching automaton and demonstrated its value through testing and casework, confirming its effectiveness in overcoming challenges posed to practitioners, with some encouraging results being observed. Such processes offered in the suite of tools should attract the attention of practitioners, not just in the e-discovery...